This page was generated from jupyter-notebook/nb_paper-cs-vs-fs.ipynb. Interactive online version: Binder badge. Download notebook.

CS vs FS on synthetic conductive models

This study has been demonstrated in the EMagPy paper McLachlan et al. (2021).

Synthetic ECa values are generated using based on a two layer model without noise at 0 m and at 1 m above the ground using the coil orientation of the CMD Explorer. These ECa are then inverted using either the FSeq forward model or the CS.

The figure below shows the inverted models with (a) FSeq at 0 m, (b) FSeq at 1 m, (c) CS at 0 m, (d) CS at 1 m. The red lines denote the true interface between the two layers of 20 and 100 mS/m from top to bottom. The error bars show the standard deviation of the posterior distribution (based on the 10% best sample).

[1]:
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append('../src') # add path where emagpy is
from emagpy import Problem

datadir = '../src/examples/'

letters = ['a','b','c','d','e','f','g','h','i','j']
[2]:
# parameters for the synthetic model
nlayer = 2 # number of layers
npos = 20 # number of positions/sampling locations
conds = np.ones((npos, nlayer))*[10, 50] # EC in mS/m
x = np.linspace(0.1, 2, npos)[:,None]
depths = 0 + 2/(1+np.exp(-4*(x-1))) # depth of model

# defines coils configuration, frequency and height above the ground
coils0 = ['VCP1.48f10000h0', 'VCP2.82f10000h0', 'VCP4.49f10000h0',
          'HCP1.48f10000h0', 'HCP2.82f10000h0', 'HCP4.49f10000h0']
coils1 = ['VCP1.48f10000h1', 'VCP2.82f10000h1', 'VCP4.49f10000h1',
          'HCP1.48f10000h1', 'HCP2.82f10000h1', 'HCP4.49f10000h1']

# foward modelling
ks = []
for i, coils in enumerate([coils0, coils1, coils0, coils1]):
    k = Problem()
    k.setModels([depths], [conds])
    _ = k.forward(forwardModel='FSlin', coils=coils, noise=0.0)
    ks.append(k)
k.showResults() # display original model
k.show() # display ECa computed from forward modelling

for k, fm in zip(ks, ['FSlin','FSlin','CS','CS']):
    k.setInit(depths0=[0.5], fixedDepths=[False],
              conds0=[20, 20], fixedConds=[False, False]) # set initial values
    # invert using ROPE solver (RObust Parameter Estimation)
    k.invert(forwardModel=fm, method='ROPE', regularization='l1', alpha=0,
             bnds=[(0.01, 3), (0, 80), (0, 80)], rep=3000, njobs=-1)
Forward modelling
Forward modelling
Forward modelling
Forward modelling
100%|███████████████████████████████████████████| 20/20 [00:00<00:00, 92.88it/s]
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
1271 of 3000, maximal objective function=-0.687723, time remaining: 00:00:03
1 Subset: Run 1270 of 1500 (best like=-0.687723)
646 of 3000, maximal objective function=-1.00099, time remaining: 00:00:07
1 Subset: Run 645 of 1500 (best like=-1.00099)
1249 of 3000, maximal objective function=-0.819106, time remaining: 00:00:03
1 Subset: Run 1248 of 1500 (best like=-0.819106)
633 of 3000, maximal objective function=-0.855212, time remaining: 00:00:07
1 Subset: Run 632 of 1500 (best like=-0.855212)
704 of 3000, maximal objective function=-0.818498, time remaining: 00:00:07
1 Subset: Run 703 of 1500 (best like=-0.818498)
663 of 3000, maximal objective function=-0.843726, time remaining: 00:00:07
1 Subset: Run 662 of 1500 (best like=-0.843726)
806 of 3000, maximal objective function=-0.622578, time remaining: 00:00:05
1 Subset: Run 805 of 1500 (best like=-0.622578)
616 of 3000, maximal objective function=-1.13495, time remaining: 00:00:08
1 Subset: Run 615 of 1500 (best like=-1.13495)
684 of 3000, maximal objective function=-0.877864, time remaining: 00:00:07
1 Subset: Run 683 of 1500 (best like=-0.877864)
1302 of 3000, maximal objective function=-0.556017, time remaining: 00:00:03
1 Subset: Run 1301 of 1500 (best like=-0.556017)
1272 of 3000, maximal objective function=-1.16145, time remaining: 00:00:03
1 Subset: Run 1271 of 1500 (best like=-1.16145)
511 of 3000, maximal objective function=-1.09975, time remaining: 00:00:10
1 Subset: Run 510 of 1500 (best like=-1.09975)
948 of 3000, maximal objective function=-0.634848, time remaining: 00:00:04
1 Subset: Run 947 of 1500 (best like=-0.634848)
150 input vectors with 3 parameters
Generating 376 parameters:
(99, 151)
1419 of 3000, maximal objective function=-0.645165, time remaining: 00:00:02
1 Subset: Run 1418 of 1500 (best like=-0.645165)
(197, 301)
(305, 451)
(404, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(121, 151)
(240, 301)
(347, 451)
(472, 601)
618 of 3000, maximal objective function=-0.506072, time remaining: 00:00:08
1 Subset: Run 617 of 1500 (best like=-0.506072)
150 input vectors with 3 parameters
Generating 376 parameters:
(115, 151)
(205, 301)
(336, 451)
(457, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(123, 151)
150 input vectors with 3 parameters
Generating 376 parameters:
(230, 301)
(327, 451)
(79, 151)
(440, 601)
(175, 301)
1102 of 3000, maximal objective function=-0.579213, time remaining: 00:00:03
1 Subset: Run 1101 of 1500 (best like=-0.579213)
(273, 451)
(419, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(33, 39)
(47, 77)
(71, 115)
(88, 153)
(109, 191)
(132, 229)
(156, 267)
(179, 305)
(195, 343)
(210, 381)
(236, 419)
(256, 457)
(282, 495)
(304, 533)
(315, 571)
(349, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(371, 647)
(22, 39)
(389, 685)
(55, 77)
(69, 115)
(89, 153)
(118, 191)
(142, 229)
(177, 267)
(199, 305)
(218, 343)
(230, 381)
(264, 419)
(284, 457)
(304, 495)
(327, 533)
(359, 571)
(389, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(20, 39)
(48, 77)
(63, 115)
(74, 153)
(90, 191)
(108, 229)
(121, 267)
(137, 305)
(156, 343)
(166, 381)
(190, 419)
(208, 457)
(223, 495)
(243, 533)
(267, 571)
(283, 609)
(298, 647)
(315, 685)
(333, 723)
(356, 761)
(374, 799)
(386, 837)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(24, 77)
(39, 115)
(51, 153)
(59, 191)
(70, 229)
(79, 267)
(91, 305)
(105, 343)
(119, 381)
(127, 419)
(136, 457)
(149, 495)
(158, 533)
(168, 571)
(176, 609)
(193, 647)
(206, 685)
(225, 723)
(237, 761)
(250, 799)
(257, 837)
(280, 875)
(289, 913)
(308, 951)
(313, 989)
(325, 1027)
(337, 1065)
(349, 1103)
(359, 1141)
(375, 1179)
150 input vectors with 3 parameters
Generating 376 parameters:
(395, 1217)
(133, 151)
(222, 301)
(321, 451)
38 input vectors with 3 parameters
Generating 376 parameters:
(410, 601)
(8, 39)
(14, 77)
(20, 115)
(34, 153)
(43, 191)
(53, 229)
(62, 267)
(72, 305)
(85, 343)
(97, 381)
(108, 419)
(123, 457)
(130, 495)
(139, 533)
(140, 571)
(143, 609)
(155, 647)
(169, 685)
(178, 723)
(189, 761)
(196, 799)
(211, 837)
(229, 875)
(239, 913)
(247, 951)
150 input vectors with 3 parameters
Generating 376 parameters:
(260, 989)
(267, 1027)
(294, 1065)
(119, 151)
(306, 1103)
(315, 1141)
(328, 1179)
(210, 301)
(334, 1217)
(343, 1255)
(376, 1293)
38 input vectors with 3 parameters
Generating 376 parameters:
(334, 451)
(10, 39)
150 input vectors with 3 parameters
Generating 376 parameters:
(18, 77)
(25, 115)
(35, 153)
(460, 601)
(117, 151)
(42, 191)
(51, 229)
(58, 267)
(242, 301)
(73, 305)
(77, 343)
(86, 381)
(361, 451)
(106, 419)
(116, 457)
(129, 495)
(448, 601)
(137, 533)
(148, 571)
(164, 609)
(171, 647)
(182, 685)
(191, 723)
(199, 761)
(216, 799)
(228, 837)
(237, 875)
(262, 913)
(269, 951)
(279, 989)
(289, 1027)
(306, 1065)
(310, 1103)
(322, 1141)
(326, 1179)
(333, 1217)
(351, 1255)
(361, 1293)
(367, 1331)
(380, 1369)
38 input vectors with 3 parameters
Generating 376 parameters:
(10, 39)
(28, 77)
(42, 115)
(57, 153)
(73, 191)
(83, 229)
(97, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
(109, 305)
(30, 39)
(129, 343)
(47, 77)
(144, 381)
(74, 115)
(164, 419)
(101, 153)
(185, 457)
(118, 191)
(207, 495)
(137, 229)
(227, 533)
(148, 267)
(239, 571)
(255, 609)
(173, 305)
(192, 343)
(285, 647)
(300, 685)
(210, 381)
(319, 723)
(238, 419)
(336, 761)
(257, 457)
(352, 799)
(287, 495)
(370, 837)
(314, 533)
(385, 875)
(338, 571)
(361, 609)
(389, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(11, 39)
(16, 77)
(24, 115)
(36, 153)
(50, 191)
(61, 229)
(73, 267)
(80, 305)
(88, 343)
(98, 381)
(103, 419)
(129, 457)
(137, 495)
(141, 533)
(149, 571)
(157, 609)
(163, 647)
(170, 685)
(178, 723)
(191, 761)
(200, 799)
(209, 837)
(215, 875)
(224, 913)
(237, 951)
(245, 989)
(252, 1027)
(259, 1065)
(269, 1103)
(277, 1141)
(289, 1179)
(303, 1217)
(311, 1255)
(326, 1293)
(329, 1331)
(339, 1369)
(351, 1407)
(361, 1445)
(364, 1483)
(372, 1521)
(380, 1559)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(17, 77)
(33, 115)
(42, 153)
(74, 191)
(90, 229)
(103, 267)
(109, 305)
(121, 343)
(140, 381)
(155, 419)
(167, 457)
(182, 495)
(193, 533)
(203, 571)
(216, 609)
(227, 647)
(236, 685)
(246, 723)
(259, 761)
(265, 799)
(285, 837)
(298, 875)
(309, 913)
(318, 951)
(346, 989)
(352, 1027)
(361, 1065)
(371, 1103)
(377, 1141)
150 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(28, 39)
(47, 77)
(97, 151)
(69, 115)
(97, 153)
(115, 191)
(148, 229)
(198, 301)
(174, 267)
(199, 305)
(218, 343)
(247, 381)
(295, 451)
(271, 419)
(293, 457)
(318, 495)
(345, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(371, 571)(405, 601)

(12, 39)
(23, 77)
(33, 115)
(43, 153)
(394, 609)
(56, 191)
(62, 229)
(68, 267)
(80, 305)
(89, 343)
(97, 381)
(108, 419)
(111, 457)
(117, 495)
(130, 533)
(142, 571)
(159, 609)
(169, 647)
(173, 685)
(186, 723)
(195, 761)
(201, 799)
(211, 837)
(218, 875)
(223, 913)
(237, 951)
(249, 989)
(273, 1027)
(280, 1065)
(290, 1103)
(300, 1141)
(315, 1179)
(333, 1217)
(345, 1255)
(360, 1293)
(373, 1331)
(385, 1369)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(14, 77)
(15, 115)
(23, 153)
(25, 191)
(30, 229)
(33, 267)
(36, 305)
(40, 343)
(54, 381)
(58, 419)
(62, 457)2534 of 3000, maximal objective function=-0.687723, time remaining: 00:00:01
4 Subset: Run 282 of 376 (best like=-0.687723)
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
1322 of 3000, maximal objective function=-1.00099, time remaining: 00:00:05
1 Subset: Run 1321 of 1500 (best like=-1.00099)
(69, 495)
(77, 533)
2546 of 3000, maximal objective function=-0.507855, time remaining: 00:00:01
4 Subset: Run 294 of 376 (best like=-0.507855)
(90, 571)
(97, 609)
(103, 647)
1305 of 3000, maximal objective function=-0.855212, time remaining: 00:00:05
1 Subset: Run 1304 of 1500 (best like=-0.855212)
(109, 685)
(115, 723)
(116, 761)
(127, 799)
1971 of 3000, maximal objective function=-0.462556, time remaining: 00:00:02
3 Subset: Run 95 of 376 (best like=-0.462556)
(137, 837)
1368 of 3000, maximal objective function=-0.843726, time remaining: 00:00:05
1 Subset: Run 1367 of 1500 (best like=-0.843726)
(144, 875)

(31, 77)
(42, 115)
(50, 153)
(57, 191)
(73, 229)
(80, 267)
(94, 305)
(119, 343)
(130, 381)
(136, 419)
(152, 457)
(158, 495)
(151, 913)
(159, 951)
(165, 989)
(176, 1027)
(180, 1065)
(184, 1103)
(191, 1141)
(196, 1179)
(199, 1217)
(205, 1255)
(214, 1293)
(171, 533)
(188, 571)
(202, 609)
(209, 647)
(227, 685)
(238, 723)
(218, 1331)
(245, 761)
(258, 799)
(224, 1369)
(274, 837)
(227, 1407)
(285, 875)
(298, 913)
(308, 951)
(318, 989)
(330, 1027)
(343, 1065)
(234, 1445)
(358, 1103)
(243, 1483)
(369, 1141)
(250, 1521)
(255, 1559)
(377, 1179)
(258, 1597)
1876 of 3000, maximal objective function=-0.622578, time remaining: 00:00:02
3 Subset: Run 0 of 376 (best like=-0.622578)
(264, 1635)
(270, 1673)
(280, 1711)
1322 of 3000, maximal objective function=-0.995464, time remaining: 00:00:05
1 Subset: Run 1321 of 1500 (best like=-0.995464)
(286, 1749)
(291, 1787)
(301, 1825)
(311, 1863)
(314, 1901)
(320, 1939)
(324, 1977)
(328, 2015)
(333, 2053)
(336, 2091)
(344, 2129)
38 input vectors with 3 parameters
Generating 376 parameters:
(353, 2167)(27, 39)
(47, 77)

(67, 115)
(356, 2205)
(83, 153)
(360, 2243)
(103, 191)
(368, 2281)
(117, 229)
(372, 2319)
(127, 267)
(379, 2357)
(148, 305)
(184, 343)
(205, 381)
1373 of 3000, maximal objective function=-0.830993, time remaining: 00:00:05
1 Subset: Run 1372 of 1500 (best like=-0.830993)
(218, 419)
(235, 457)
(249, 495)
2554 of 3000, maximal objective function=-0.524731, time remaining: 00:00:01
4 Subset: Run 302 of 376 (best like=-0.524731)
(271, 533)
(292, 571)
(316, 609)
2454 of 3000, maximal objective function=-0.694095, time remaining: 00:00:01
4 Subset: Run 202 of 376 (best like=-0.694095)
(328, 647)
(342, 685)
(365, 723)
(384, 761)
1162 of 3000, maximal objective function=-0.797536, time remaining: 00:00:06
1 Subset: Run 1161 of 1500 (best like=-0.797536)
1631 of 3000, maximal objective function=-0.634848, time remaining: 00:00:03
2 Subset: Run 131 of 376 (best like=-0.634848)
38 input vectors with 3 parameters
Generating 376 parameters:
(17, 39)
(32, 77)
(53, 115)
(69, 153)
(84, 191)
(95, 229)
(112, 267)
(121, 305)
(136, 343)
(155, 381)
(174, 419)
(188, 457)
(203, 495)
(219, 533)
(234, 571)
(251, 609)
(261, 647)
(276, 685)
(292, 723)
(305, 761)
(318, 799)
(332, 837)
(347, 875)
(362, 913)
(374, 951)
(389, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(19, 77)
(35, 115)
(45, 153)
(50, 191)
(63, 229)
(73, 267)
(88, 305)
(107, 343)
(117, 381)
(131, 419)
(143, 457)
(157, 495)
(187, 533)
(197, 571)
(216, 609)
(233, 647)
(241, 685)
(259, 723)
(275, 761)
(280, 799)
(289, 837)
(303, 875)
2347 of 3000, maximal objective function=-0.448218, time remaining: 00:00:01
4 Subset: Run 95 of 376 (best like=-0.448218)
(313, 913)
(326, 951)
(343, 989)
(353, 1027)
(359, 1065)
(375, 1103)
(382, 1141)
150 input vectors with 3 parameters
Generating 376 parameters:
(110, 151)
1257 of 3000, maximal objective function=-0.506072, time remaining: 00:00:06
1 Subset: Run 1256 of 1500 (best like=-0.506072)
(229, 301)
(330, 451)
(415, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(115, 151)
(241, 301)
(334, 451)
(437, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(95, 151)
(210, 301)
(322, 451)
(437, 601)
2202 of 3000, maximal objective function=-0.484262, time remaining: 00:00:01
3 Subset: Run 326 of 376 (best like=-0.484262)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
(27, 77)
(20, 39)
(38, 115)
(49, 77)
(42, 153)
(80, 115)
(50, 191)
(114, 153)
(59, 229)
(70, 267)
(139, 191)
(77, 305)
(174, 229)
(87, 343)
(190, 267)
(96, 381)
(214, 305)
(111, 419)
(247, 343)
(115, 457)
(120, 495)
(273, 381)
(128, 533)
(310, 419)
(133, 571)
(333, 457)
(139, 609)
(351, 495)
(150, 647)
(158, 685)
(371, 533)
(159, 723)
(401, 571)
(161, 761)
(174, 799)
150 input vectors with 3 parameters
Generating 376 parameters:
(194, 837)
(203, 875)
(209, 913)
(216, 951)
(223, 989)
(90, 151)
(232, 1027)
(251, 1065)
(262, 1103)
(276, 1141)
(280, 1179)
(233, 301)
(295, 1217)
(305, 1255)
(312, 1293)
(319, 1331)
(322, 451)
(329, 1369)
(338, 1407)
(348, 1445)
(358, 1483)
(430, 601)
(372, 1521)
(378, 1559)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(17, 77)
(25, 115)
(30, 153)
(37, 191)
(43, 229)
(48, 267)
(58, 305)
(63, 343)
(68, 381)
(74, 419)
(78, 457)
(86, 495)
(93, 533)
(100, 571)
(108, 609)
(116, 647)
(119, 685)
(125, 723)
(129, 761)
(131, 799)
(138, 837)
(146, 875)
(148, 913)
(153, 951)
(158, 989)
(166, 1027)
(174, 1065)150 input vectors with 3 parameters

Generating 376 parameters:
(182, 1103)
(188, 1141)
(196, 1179)
(198, 1217)
(205, 1255)
(117, 151)
(208, 1293)
(214, 1331)
(219, 1369)
(229, 1407)
(204, 301)
(244, 1445)
(252, 1483)
(261, 1521)
(264, 1559)
(307, 451)
(268, 1597)
(274, 1635)
(281, 1673)
(287, 1711)
(293, 1749)
(430, 601)
(298, 1787)
(304, 1825)
(310, 1863)
(314, 1901)
(317, 1939)
(323, 1977)
(329, 2015)
(339, 2053)
(342, 2091)
(343, 2129)
(346, 2167)
(349, 2205)
(357, 2243)
(359, 2281)
(363, 2319)
(371, 2357)
(378, 2395)
38 input vectors with 3 parameters
Generating 376 parameters:
(7, 39)
(13, 77)
(21, 115)
(26, 153)
(36, 191)
(41, 229)
(45, 267)
(52, 305)
(56, 343)
(62, 381)
(64, 419)
(75, 457)
(82, 495)
(85, 533)
(90, 571)
(99, 609)
(103, 647)
(107, 685)
(119, 723)
(125, 761)
(130, 799)
(139, 837)
(144, 875)
(151, 913)
(158, 951)
(164, 989)
(170, 1027)
(181, 1065)
(185, 1103)
(192, 1141)
(199, 1179)
(205, 1217)
(218, 1255)
(225, 1293)
(230, 1331)
(236, 1369)
(245, 1407)
(272, 1445)
(284, 1483)
(295, 1521)
(301, 1559)
(307, 1597)
(314, 1635)
(319, 1673)
(325, 1711)
(331, 1749)
(339, 1787)
(344, 1825)
(351, 1863)
(358, 1901)
(360, 1939)
(365, 1977)
(371, 2015)
(376, 2053)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(15, 77)
(25, 115)
(39, 153)
(53, 191)
(60, 229)
(70, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
(76, 305)
(2, 39)
(81, 343)
(7, 77)
(91, 381)
(12, 115)
(14, 153)
(99, 419)
(16, 191)
(108, 457)
(24, 229)
38 input vectors with 3 parameters
Generating 376 parameters:
(114, 495)
(35, 267)
(121, 533)
(12, 39)
(38, 305)
(129, 571)
(40, 343)
(28, 77)
(134, 609)
(46, 381)
(38, 115)
(144, 647)
(49, 419)
(50, 153)
(159, 685)
(59, 191)
(58, 457)
(171, 723)
(67, 229)
(60, 495)
(179, 761)
(83, 267)
(64, 533)
Stopping samplig
(183, 799)

*** Final SPOTPY summary ***
Total Duration: 5.09 seconds
Total Repetitions: 3000
Maximal objective value: -0.6848
Corresponding parameter setting:
x0: 0.432876
x1: 26.6008
x2: 50.1077
******************************

(69, 571)
(191, 837)
(71, 609)
(200, 875)
(72, 647)
(204, 913)
(79, 685)
(217, 951)
(83, 723)
(219, 989)
(88, 761)
(230, 1027)
(91, 799)
(234, 1065)
(93, 837)
(99, 305)
(97, 875)(243, 1103)

(113, 343)
(100, 913)
(253, 1141)
(126, 381)
(102, 951)
(255, 1179)
(141, 419)
(106, 989)
(266, 1217)
(157, 457)
(108, 1027)
(278, 1255)
(109, 1065)
(166, 495)
(283, 1293)
(113, 1103)
(287, 1331)
(116, 1141)
(289, 1369)
(119, 1179)
(123, 1217)(300, 1407)

(128, 1255)(307, 1445)

(129, 1293)
(322, 1483)
(137, 1331)
(343, 1521)
(138, 1369)
(354, 1559)
(179, 533)
(143, 1407)
(357, 1597)
(145, 1445)
Starting the ROPE algotrithm with 3000 repetitions...(190, 571)
Initializing the
 RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(366, 1635)
(148, 1483)
(206, 609)
(373, 1673)
(150, 1521)
(221, 647)
(378, 1711)
(159, 1559)(235, 685)

(161, 1597)
(243, 723)
(167, 1635)
(264, 761)
(168, 1673)
(168, 1711)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(171, 1749)
(176, 1787)
(177, 1825)
(180, 1863)
(182, 1901)
(276, 799)
(186, 1939)
(284, 837)
(189, 1977)
(298, 875)
(191, 2015)
(309, 913)
(195, 2053)
(199, 2091)(323, 951)

(204, 2129)
(340, 989)
(208, 2167)
(347, 1027)
(209, 2205)
(368, 1065)
(221, 2243)
(380, 1103)
(223, 2281)
(226, 2319)
(229, 2357)
(234, 2395)
(235, 2433)
(241, 2471)
(245, 2509)
(248, 2547)
(254, 2585)
(261, 2623)
(265, 2661)
(269, 2699)
(273, 2737)
(275, 2775)
(281, 2813)
(286, 2851)
(292, 2889)
(295, 2927)
(295, 2965)
(298, 3003)
(302, 3041)
(309, 3079)
(311, 3117)
(315, 3155)
(319, 3193)
(321, 3231)
(323, 3269)
(325, 3307)
(330, 3345)
(331, 3383)
(337, 3421)
(338, 3459)
(341, 3497)
(347, 3535)
(351, 3573)
(355, 3611)
(362, 3649)
(365, 3687)
(366, 3725)
(366, 3763)
(370, 3801)
(374, 3839)
(379, 3877)
38 input vectors with 3 parameters
Generating 376 parameters:
(19, 39)
(56, 77)
(81, 115)
(107, 153)
(133, 191)
(163, 229)
(179, 267)
(206, 305)
(231, 343)
(258, 381)
(284, 419)
(313, 457)
(335, 495)
(360, 533)
(386, 571)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.3 seconds
Total Repetitions: 3000
Maximal objective value: -0.22586
Corresponding parameter setting:
x0: 0.44745
x1: 9.35344
x2: 49.78
******************************

150 input vectors with 3 parameters
Generating 376 parameters:
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.32 seconds
Total Repetitions: 3000
Maximal objective value: -0.488346
Corresponding parameter setting:
x0: 0.608225
x1: 8.71263
x2: 50.4952
******************************

(94, 151)
150 input vectors with 3 parameters
Generating 376 parameters:
(222, 301)
(285, 451)
(369, 601)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
38 input vectors with 3 parameters
Generating 376 parameters:
(27, 39)
(110, 151)
(458, 751)
(53, 77)
(73, 115)
(104, 153)
Initialize database...
(132, 191)
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(157, 229)
(238, 301)
(181, 267)
(207, 305)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(231, 343)
(250, 381)
(277, 419)
(329, 451)
(305, 457)
(332, 495)
(357, 533)
(375, 571)
(452, 601)
(400, 609)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.61 seconds
Total Repetitions: 3000
Maximal objective value: -0.346513
Corresponding parameter setting:
x0: 0.213318
x1: 25.4018
x2: 50.3728
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(13, 77)
(17, 115)
(23, 153)
(26, 191)
(31, 229)
(35, 267)
(41, 305)
Initialize database...
(44, 343)
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(49, 381)
(50, 419)
(59, 457)
(65, 495)
(69, 533)
(74, 571)
(100, 609)
(113, 647)
(118, 685)
(128, 723)
(135, 761)
(142, 799)
(147, 837)
(158, 875)
(163, 913)
(163, 951)
(167, 989)
(178, 1027)
(197, 1065)
38 input vectors with 3 parameters
Generating 376 parameters:
(202, 1103)
(19, 39)
(209, 1141)
(40, 77)
(217, 1179)
(59, 115)
(223, 1217)
(73, 153)
(234, 1255)
(238, 1293)
(100, 191)
(244, 1331)
(125, 229)
(253, 1369)
(154, 267)
(257, 1407)
(174, 305)
(263, 1445)
(195, 343)
(271, 1483)
(220, 381)
(276, 1521)
(281, 1559)
(242, 419)
(293, 1597)
(299, 1635)
(262, 457)
(309, 1673)
(316, 1711)
(275, 495)
(332, 1749)
(297, 533)
(333, 1787)
(317, 571)
(337, 1825)
(332, 609)
(344, 1863)
(342, 647)
(348, 1901)
(364, 685)
(353, 1939)
(383, 723)
(355, 1977)
(361, 2015)
(366, 2053)
(372, 2091)
(380, 2129)
38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(47, 77)
(67, 115)
(90, 153)
(116, 191)
(139, 229)
(158, 267)
(184, 305)
(213, 343)
(236, 381)
(265, 419)
(291, 457)
(313, 495)
(332, 533)
(359, 571)
1961 of 3000, maximal objective function=-0.873907, time remaining: 00:00:03
3 Subset: Run 85 of 376 (best like=-0.873907)
(381, 609)
2156 of 3000, maximal objective function=-0.382621, time remaining: 00:00:02
3 Subset: Run 280 of 376 (best like=-0.382621)
2830 of 3000, maximal objective function=-0.462556, time remaining: 00:00:00
5 Subset: Run 202 of 376 (best like=-0.462556)
1878 of 3000, maximal objective function=-0.843726, time remaining: 00:00:04
3 Subset: Run 2 of 376 (best like=-0.843726)
38 input vectors with 3 parameters
Generating 376 parameters:
(15, 39)
(23, 77)
(27, 115)
(31, 153)
(39, 191)
(42, 229)
(46, 267)
(57, 305)
(68, 343)
(72, 381)
(74, 419)
(83, 457)
(88, 495)
(106, 533)
(110, 571)
(114, 609)
(123, 647)
(131, 685)
(136, 723)
(149, 761)
(153, 799)
(162, 837)
(168, 875)
(176, 913)
(181, 951)
(185, 989)
(193, 1027)
2492 of 3000, maximal objective function=-0.559084, time remaining: 00:00:01(203, 1065)

4 Subset: Run 240 of 376 (best like=-0.559084)
(211, 1103)
(219, 1141)
(226, 1179)
(237, 1217)
1853 of 3000, maximal objective function=-0.504845, time remaining: 00:00:04
2 Subset: Run 353 of 376 (best like=-0.504845)
(246, 1255)
(251, 1293)
(256, 1331)
(261, 1369)
(266, 1407)
(285, 1445)
38 input vectors with 3 parameters
Generating 376 parameters:
(289, 1483)
(294, 1521)
(14, 39)
Stopping samplig
(302, 1559)

*** Final SPOTPY summary ***
Total Duration: 5.78 seconds
Total Repetitions: 3000
Maximal objective value: -0.263939
Corresponding parameter setting:
x0: 1.86402
x1: 9.97072
x2: 50.4253
******************************

(307, 1597)
(36, 77)
(309, 1635)
(47, 115)
(315, 1673)
(317, 1711)
(72, 153)
(321, 1749)
(328, 1787)
(97, 191)
(339, 1825)
(343, 1863)
(109, 229)
(347, 1901)
(353, 1939)
(125, 267)
(366, 1977)
(133, 305)
(372, 2015)
(378, 2053)
(144, 343)
(159, 381)
(178, 419)
(197, 457)
(211, 495)
(227, 533)
(236, 571)
(253, 609)
(270, 647)
(285, 685)
38 input vectors with 3 parameters
Generating 376 parameters:
(310, 723)
(13, 39)
(324, 761)
1669 of 3000, maximal objective function=-0.797536, time remaining: 00:00:05
2 Subset: Run 169 of 376 (best like=-0.797536)
(22, 77)
(335, 799)
(44, 115)
(344, 837)
(56, 153)
(356, 875)
(73, 191)
(372, 913)
(90, 229)
(385, 951)
2280 of 3000, maximal objective function=-0.494169, time remaining: 00:00:02
4 Subset: Run 28 of 376 (best like=-0.494169)
(105, 267)
1876 of 3000, maximal objective function=-0.688787, time remaining: 00:00:04
3 Subset: Run 0 of 376 (best like=-0.688787)
(120, 305)
(134, 343)
(152, 381)
(175, 419)
(189, 457)
(200, 495)
38 input vectors with 3 parameters
Generating 376 parameters:
(23, 39)
(216, 533)
(43, 77)
(233, 571)
(65, 115)
(249, 609)(93, 153)

(107, 191)
(262, 647)
(129, 229)
(278, 685)
(156, 267)
(177, 305)
(295, 723)
(192, 343)
(313, 761)
(220, 381)
(238, 419)
(333, 799)
(260, 457)
(354, 837)
(281, 495)
(303, 533)
(371, 875)
(331, 571)
(384, 913)
(347, 609)
(368, 647)
(394, 685)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 6.39 seconds
Total Repetitions: 3000
Maximal objective value: -0.462556
Corresponding parameter setting:
x0: 0.19498
x1: 34.1198
x2: 50.4937
******************************

1686 of 3000, maximal objective function=-0.506072, time remaining: 00:00:05
2 Subset: Run 186 of 376 (best like=-0.506072)
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
(31, 77)
(41, 115)
(53, 153)
(60, 191)
(73, 229)
(85, 267)
(99, 305)
(109, 343)
(132, 381)
(141, 419)
(159, 457)
(176, 495)
(188, 533)
(203, 571)
(227, 609)
(236, 647)
(244, 685)
(260, 723)
(265, 761)
(277, 799)
(294, 837)
(315, 875)
(325, 913)
2972 of 3000, maximal objective function=-0.32672, time remaining: 00:00:00
5 Subset: Run 344 of 376 (best like=-0.32672)
(339, 951)
(348, 989)
(364, 1027)
(367, 1065)
(375, 1103)
(386, 1141)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 6.07 seconds
Total Repetitions: 3000
Maximal objective value: -0.278795
Corresponding parameter setting:
x0: 1.3429
x1: 9.93793
x2: 49.1999
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(10, 39)
(18, 77)
(26, 115)
(32, 153)
(44, 191)
(54, 229)
(68, 267)
(78, 305)
(87, 343)
(102, 381)
(109, 419)
(120, 457)
(128, 495)
(132, 533)
(142, 571)
(149, 609)
(154, 647)
(181, 685)
(193, 723)
(202, 761)
(212, 799)
(222, 837)
(228, 875)
(237, 913)
(245, 951)
(260, 989)
(268, 1027)
(274, 1065)
(275, 1103)
(282, 1141)
(291, 1179)
(297, 1217)
(311, 1255)
(323, 1293)
(330, 1331)
(349, 1369)
(359, 1407)
(377, 1445)
38 input vectors with 3 parameters
Generating 376 parameters:
(3, 39)
(5, 77)
(16, 115)
(18, 153)
(22, 191)
(29, 229)
(31, 267)
(36, 305)
(39, 343)
(41, 381)
(53, 419)
(57, 457)
(61, 495)
(64, 533)
(67, 571)
(73, 609)
(81, 647)
(85, 685)
(89, 723)
(93, 761)
(94, 799)
(103, 837)
(110, 875)
(112, 913)
(116, 951)
(118, 989)
(118, 1027)
(124, 1065)
(129, 1103)
(133, 1141)
(139, 1179)
(143, 1217)
(148, 1255)
(152, 1293)
(156, 1331)
(156, 1369)
(161, 1407)
(167, 1445)
(167, 1483)
(175, 1521)
(182, 1559)
(187, 1597)
(194, 1635)
(201, 1673)
(205, 1711)
(212, 1749)
(215, 1787)
(224, 1825)
(226, 1863)
(233, 1901)
(238, 1939)
(239, 1977)
(240, 2015)
(245, 2053)
(248, 2091)
(252, 2129)
(259, 2167)
(260, 2205)
(264, 2243)
(265, 2281)
(269, 2319)
(278, 2357)
(285, 2395)
(286, 2433)
(292, 2471)
(295, 2509)
(300, 2547)
(310, 2585)
(312, 2623)
(321, 2661)
(329, 2699)
(336, 2737)
(341, 2775)
(345, 2813)
(349, 2851)
(353, 2889)
(357, 2927)
(363, 2965)
(367, 3003)
(373, 3041)
(382, 3079)
38 input vectors with 3 parameters
Generating 376 parameters:
(21, 39)
(36, 77)
(58, 115)
(78, 153)
(102, 191)
(117, 229)
(143, 267)
(170, 305)
(188, 343)
(202, 381)
(226, 419)
(246, 457)
(263, 495)
(283, 533)
(307, 571)
(328, 609)
(357, 647)
(371, 685)
(387, 723)
38 input vectors with 3 parameters
Generating 376 parameters:
(15, 39)
(29, 77)
(46, 115)
(61, 153)
(75, 191)
(88, 229)
(105, 267)
(115, 305)
(131, 343)
(145, 381)
(171, 419)
(179, 457)
(192, 495)
(204, 533)
(211, 571)
(227, 609)
(234, 647)
(245, 685)
(258, 723)
(275, 761)
(283, 799)
(310, 837)
(318, 875)
(333, 913)
38 input vectors with 3 parameters
Generating 376 parameters:
(347, 951)
(11, 39)
(26, 77)
(45, 115)
(353, 989)
(59, 153)
(76, 191)
(85, 229)
(370, 1027)
(102, 267)
(114, 305)
(383, 1065)
(129, 343)
(149, 381)
(185, 419)
(199, 457)
(205, 495)
(214, 533)
(223, 571)
(236, 609)
(245, 647)
(252, 685)
(262, 723)
(279, 761)
(286, 799)
(299, 837)
(310, 875)
(325, 913)
(336, 951)
(348, 989)
(365, 1027)
(378, 1065)
38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(35, 77)
(62, 115)
(77, 153)
(98, 191)
(121, 229)
(136, 267)
(161, 305)
(189, 343)
(203, 381)
(216, 419)
(236, 457)
892 of 3000, maximal objective function=-0.684197, time remaining: 00:00:05
1 Subset: Run 891 of 1500 (best like=-0.684197)
(257, 495)
(273, 533)
(296, 571)
(314, 609)
(329, 647)
(346, 685)
(375, 723)
(397, 761)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 7.1 seconds
Total Repetitions: 3000
Maximal objective value: -0.362447
Corresponding parameter setting:
x0: 1.66717
x1: 10.1946
x2: 50.1572
******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 7.37 seconds
Total Repetitions: 3000
Maximal objective value: -0.34484
Corresponding parameter setting:
x0: 0.255299
x1: 36.361
x2: 50.0989
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(21, 39)
(40, 77)
(54, 115)
(76, 153)
(92, 191)
(111, 229)
(139, 267)
(162, 305)
(179, 343)
(200, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
(225, 419)
(8, 39)
(11, 77)
(15, 115)
(242, 457)
(26, 153)
(36, 191)
(52, 229)
(264, 495)
(57, 267)
(67, 305)
(73, 343)
(78, 381)
(278, 533)
(83, 419)
(87, 457)
(94, 495)
(294, 571)
(96, 533)
(102, 571)
(103, 609)
(310, 609)
(109, 647)
(112, 685)
(328, 647)
(118, 723)
(127, 761)
(133, 799)
(347, 685)
(145, 837)
(153, 875)
(156, 913)
(361, 723)
(164, 951)
(171, 989)
(176, 1027)
(375, 761)
(183, 1065)
(189, 1103)
(194, 1141)
(392, 799)
(198, 1179)
(212, 1217)
(218, 1255)
(222, 1293)
(227, 1331)
(231, 1369)
(244, 1407)
(251, 1445)
(262, 1483)
(271, 1521)
(278, 1559)
(299, 1597)
(316, 1635)
(323, 1673)
(333, 1711)
(335, 1749)
(343, 1787)
(350, 1825)
(354, 1863)
(360, 1901)
(368, 1939)
(377, 1977)
972 of 3000, maximal objective function=-0.855227, time remaining: 00:00:04
1 Subset: Run 971 of 1500 (best like=-0.855227)
536 of 3000, maximal objective function=-0.819085, time remaining: 00:00:09
1 Subset: Run 535 of 1500 (best like=-0.819085)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 7.56 seconds
Total Repetitions: 3000
Maximal objective value: -0.497874
Corresponding parameter setting:
x0: 0.411046
x1: 13.7898
x2: 50.6542
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(6, 39)
(17, 77)
(24, 115)
(28, 153)
(37, 191)
(40, 229)
(46, 267)
(53, 305)
(58, 343)
(67, 381)
(72, 419)
(79, 457)
(84, 495)
(96, 533)
(103, 571)
(111, 609)
(119, 647)
(129, 685)
547 of 3000, maximal objective function=-0.814119, time remaining: 00:00:09
1 Subset: Run 546 of 1500 (best like=-0.814119)
(138, 723)
(152, 761)
(157, 799)
(163, 837)
(178, 875)
(188, 913)
(197, 951)
(202, 989)
(205, 1027)
(209, 1065)
(215, 1103)
(222, 1141)
(224, 1179)
(233, 1217)
(239, 1255)
(254, 1293)
(256, 1331)
(265, 1369)
(269, 1407)
(276, 1445)
(286, 1483)
(298, 1521)
(306, 1559)
(316, 1597)
(322, 1635)
(331, 1673)
(338, 1711)
(340, 1749)
(346, 1787)
(351, 1825)
(361, 1863)
(370, 1901)
(374, 1939)
(378, 1977)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(16, 77)
(25, 115)
(35, 153)
(43, 191)
(52, 229)
(68, 267)
(77, 305)
(83, 343)
(91, 381)
(104, 419)
(121, 457)
(132, 495)
(145, 533)
(150, 571)
(160, 609)
(171, 647)
(178, 685)
(189, 723)
(204, 761)
(216, 799)
(229, 837)
(235, 875)
(247, 913)
(257, 951)
(265, 989)
(274, 1027)
(284, 1065)
(296, 1103)
(312, 1141)
(324, 1179)
(335, 1217)
(347, 1255)
(362, 1293)
(375, 1331)
(389, 1369)
38 input vectors with 3 parameters
Generating 376 parameters:
(6, 39)
(13, 77)
(25, 115)
(34, 153)
(45, 191)
(50, 229)
150 input vectors with 3 parameters
Generating 376 parameters:
(64, 267)
(73, 305)
(83, 343)
(107, 151)
(87, 381)
(99, 419)
(178, 301)
(107, 457)
(115, 495)
(119, 533)
(124, 571)
(313, 451)
(133, 609)
(143, 647)
(151, 685)
(411, 601)
(156, 723)
(164, 761)
(178, 799)
(184, 837)
(188, 875)
(193, 913)
(196, 951)
(207, 989)
(213, 1027)
(221, 1065)
(225, 1103)
(229, 1141)
(239, 1179)
(244, 1217)
(249, 1255)
(258, 1293)
(260, 1331)
(266, 1369)
(271, 1407)
(276, 1445)
(279, 1483)
(292, 1521)
(295, 1559)
(300, 1597)
(305, 1635)
Stopping samplig
(314, 1673)
(318, 1711)

*** Final SPOTPY summary ***
Total Duration: 7.99 seconds
Total Repetitions: 3000
Maximal objective value: -0.205785
Corresponding parameter setting:
x0: 0.783821
x1: 9.70479
x2: 49.7757
******************************

(326, 1749)
(334, 1787)
(343, 1825)
(353, 1863)
(361, 1901)
(362, 1939)
(367, 1977)
(376, 2015)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
2421 of 3000, maximal objective function=-0.617006, time remaining: 00:00:02
4 Subset: Run 169 of 376 (best like=-0.617006)
(18, 77)
(28, 115)
(34, 153)
(40, 191)
(45, 229)
(54, 267)
(63, 305)
(71, 343)
(78, 381)
(83, 419)
(91, 457)
(99, 495)
(103, 533)
(108, 571)
(115, 609)
(119, 647)
(128, 685)
(140, 723)
(149, 761)
(158, 799)
(164, 837)
(170, 875)
(174, 913)
(185, 951)
(189, 989)
(192, 1027)
(198, 1065)
(206, 1103)
(218, 1141)
(244, 1179)
(251, 1217)
(257, 1255)
(260, 1293)
(267, 1331)
(275, 1369)
(283, 1407)
(287, 1445)
(295, 1483)
(298, 1521)
(302, 1559)
(311, 1597)
(325, 1635)
(335, 1673)
(340, 1711)
(347, 1749)
(354, 1787)
(370, 1825)
(378, 1863)
2351 of 3000, maximal objective function=-0.504845, time remaining: 00:00:02
4 Subset: Run 99 of 376 (best like=-0.504845)
150 input vectors with 3 parameters
Generating 376 parameters:
(103, 151)
(193, 301)
(292, 451)
(441, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(11, 77)
(15, 115)
(20, 153)
(27, 191)
(37, 229)
(43, 267)
(45, 305)
(50, 343)
(57, 381)
2350 of 3000, maximal objective function=-0.481663, time remaining: 00:00:02
4 Subset: Run 98 of 376 (best like=-0.481663)
(69, 419)
(75, 457)
(81, 495)
(92, 533)
(98, 571)
(103, 609)
(104, 647)
(115, 685)
(121, 723)
(127, 761)
(131, 799)
(135, 837)
(140, 875)
(147, 913)
(155, 951)
(158, 989)
(174, 1027)
(185, 1065)
(191, 1103)
(198, 1141)
(204, 1179)
(209, 1217)
(215, 1255)
(230, 1293)
(233, 1331)
(239, 1369)
(246, 1407)
(251, 1445)
(258, 1483)
(261, 1521)
(272, 1559)
(280, 1597)
(284, 1635)
(289, 1673)
(298, 1711)
(308, 1749)
(312, 1787)
(325, 1825)
(334, 1863)
(339, 1901)
(341, 1939)
(344, 1977)
(347, 2015)
(352, 2053)
(357, 2091)
(359, 2129)
(368, 2167)
(369, 2205)
(375, 2243)
(391, 2281)
2628 of 3000, maximal objective function=-0.334566, time remaining: 00:00:01
5 Subset: Run 0 of 376 (best like=-0.334566)
38 input vectors with 3 parameters
Generating 376 parameters:
(7, 39)
(10, 77)
(22, 115)
(26, 153)
(38, 191)
(44, 229)
(59, 267)
(65, 305)
(72, 343)
(78, 381)
(82, 419)
(89, 457)
(102, 495)
(106, 533)
(115, 571)
(117, 609)
(128, 647)
(133, 685)
(143, 723)
(145, 761)
(148, 799)
(152, 837)
(159, 875)
(166, 913)
(170, 951)
(172, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(179, 1027)
(10, 39)
(186, 1065)
(24, 77)
(193, 1103)
(37, 115)
(202, 1141)
(46, 153)
(205, 1179)
(72, 191)
(210, 1217)
(87, 229)
(214, 1255)
(220, 1293)
(106, 267)
(223, 1331)
(115, 305)
(232, 1369)
(127, 343)
(235, 1407)
(139, 381)
(242, 1445)
(155, 419)
(251, 1483)
(168, 457)
(261, 1521)
(193, 495)
(266, 1559)
(204, 533)
(276, 1597)
(219, 571)
(280, 1635)
(285, 1673)
(232, 609)
(291, 1711)
(238, 647)
(296, 1749)
(262, 685)
(303, 1787)
(273, 723)
(310, 1825)
(284, 761)
(317, 1863)
(292, 799)
(320, 1901)
(315, 837)
(328, 1939)
(337, 875)
(333, 1977)
(338, 2015)
(353, 913)
(351, 2053)
(363, 951)
(358, 2091)
(380, 989)
(365, 2129)
(371, 2167)
(395, 2205)
2628 of 3000, maximal objective function=-0.506072, time remaining: 00:00:01
5 Subset: Run 0 of 376 (best like=-0.506072)
38 input vectors with 3 parameters
Generating 376 parameters:
(7, 39)
(12, 77)
(15, 115)
(24, 153)
(35, 191)
(40, 229)
(48, 267)
(51, 305)
(62, 343)
(68, 381)
(70, 419)
(79, 457)
(92, 495)
(103, 533)
(115, 571)
(121, 609)
(124, 647)
(128, 685)
(132, 723)
(144, 761)
(156, 799)
(163, 837)
(169, 875)
(176, 913)
(182, 951)
(192, 989)
(197, 1027)
(204, 1065)
(213, 1103)
(214, 1141)
(217, 1179)
(225, 1217)
(232, 1255)
(235, 1293)
(239, 1331)
(245, 1369)
(257, 1407)
(264, 1445)
38 input vectors with 3 parameters
Generating 376 parameters:
(273, 1483)
(16, 39)
(284, 1521)
(34, 77)
(289, 1559)
(52, 115)
(297, 1597)
(67, 153)
(306, 1635)
(79, 191)
(313, 1673)
(88, 229)
(316, 1711)
(104, 267)
(330, 1749)
(118, 305)
(336, 1787)
(138, 343)
(349, 1825)
(151, 381)
(357, 1863)
(161, 419)
(362, 1901)
(177, 457)
(367, 1939)
(371, 1977)
(198, 495)
(375, 2015)
(210, 533)
(223, 571)
(388, 2053)
(231, 609)
(254, 647)
(272, 685)
(285, 723)
(295, 761)
(312, 799)
(326, 837)
(342, 875)
(356, 913)
(373, 951)
(384, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(19, 39)
(27, 77)
(35, 115)
(48, 153)
(57, 191)
(76, 229)
(91, 267)
(101, 305)
(119, 343)
(142, 381)
(152, 419)
(159, 457)
(163, 495)
(170, 533)
(190, 571)
(197, 609)
(215, 647)
(237, 685)
(252, 723)
(258, 761)
(270, 799)
(282, 837)
(299, 875)
(308, 913)
(315, 951)
(332, 989)
(344, 1027)
(354, 1065)
(374, 1103)
(375, 1141)
(379, 1179)
38 input vectors with 3 parameters
Generating 376 parameters:
(4, 39)
(8, 77)
(17, 115)
(23, 153)
(34, 191)
(39, 229)
(46, 267)
(54, 305)
(62, 343)
(69, 381)
(79, 419)
(87, 457)
Stopping samplig
(96, 495)

*** Final SPOTPY summary ***
Total Duration: 8.46 seconds
Total Repetitions: 3000
Maximal objective value: -0.275795
Corresponding parameter setting:
x0: 1.79068
x1: 10.1465
x2: 50.5604
******************************

(104, 533)
(114, 571)
(124, 609)
(134, 647)
(139, 685)
(147, 723)
(153, 761)
(162, 799)
(167, 837)
(176, 875)
(187, 913)
(194, 951)
(201, 989)
(207, 1027)
(217, 1065)
(223, 1103)
(228, 1141)
(234, 1179)
(242, 1217)
(252, 1255)
(258, 1293)
(265, 1331)
(271, 1369)
(274, 1407)
(279, 1445)
(284, 1483)
(295, 1521)
(298, 1559)
(302, 1597)
(310, 1635)
(314, 1673)
(323, 1711)
(334, 1749)
(336, 1787)
(343, 1825)
(348, 1863)
(352, 1901)
(367, 1939)
(372, 1977)
(382, 2015)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 8.8 seconds
Total Repetitions: 3000
Maximal objective value: -0.351585
Corresponding parameter setting:
x0: 1.25776
x1: 10.6696
x2: 50.8791
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(15, 77)
(18, 115)
(25, 153)
(31, 191)
(42, 229)
(48, 267)
(51, 305)
(53, 343)
(60, 381)
(67, 419)
38 input vectors with 3 parameters(74, 457)

Generating 376 parameters:
(81, 495)
(86, 533)
(94, 571)
(7, 39)
(97, 609)
(101, 647)
(106, 685)
(14, 77)
(108, 723)
(111, 761)
(118, 799)
(23, 115)
(127, 837)
(131, 875)
(137, 913)
(30, 153)
(143, 951)
(145, 989)
(149, 1027)
(40, 191)
(152, 1065)
(156, 1103)
(159, 1141)
(45, 229)
(163, 1179)
(169, 1217)
(49, 267)
(178, 1255)
(187, 1293)
(192, 1331)
(55, 305)
(199, 1369)
(203, 1407)
(209, 1445)
(64, 343)
(216, 1483)
(223, 1521)
(227, 1559)
(73, 381)
(232, 1597)
(237, 1635)
(243, 1673)
(78, 419)
(245, 1711)
(249, 1749)
(253, 1787)
(88, 457)
(256, 1825)
(259, 1863)
(261, 1901)
(96, 495)
(264, 1939)
(267, 1977)
(105, 533)
(271, 2015)
(278, 2053)
(285, 2091)
(117, 571)
(296, 2129)
(301, 2167)
(306, 2205)
(123, 609)
(308, 2243)
(314, 2281)
(325, 2319)
(127, 647)
(330, 2357)
(343, 2395)
(132, 685)
(358, 2433)
(362, 2471)
(367, 2509)
(140, 723)
(376, 2547)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(13, 77)
(144, 761)
(20, 115)
(29, 153)
(41, 191)
(156, 799)
(51, 229)
(60, 267)
(160, 837)
(76, 305)
(83, 343)
(88, 381)
(168, 875)
(92, 419)
(100, 457)
(102, 495)
(185, 913)
(109, 533)
(116, 571)
(125, 609)
(190, 951)
(129, 647)
(133, 685)
(139, 723)
(201, 989)
(144, 761)
(149, 799)
(203, 1027)
(160, 837)
(169, 875)
(172, 913)
(208, 1065)
(177, 951)
(186, 989)
(192, 1027)
(219, 1103)
(204, 1065)
(216, 1103)
(224, 1141)
(226, 1141)
(234, 1179)
(241, 1217)
(245, 1255)
(241, 1179)
(252, 1293)
(257, 1331)
(266, 1369)
(248, 1217)
(269, 1407)
(273, 1445)
(276, 1483)
(256, 1255)
(279, 1521)
(285, 1559)
(289, 1597)
(265, 1293)
(302, 1635)
(308, 1673)
(316, 1711)
(270, 1331)
(324, 1749)
(334, 1787)
(339, 1825)
(278, 1369)
(345, 1863)
(353, 1901)
(360, 1939)
(289, 1407)
(365, 1977)
(370, 2015)
(293, 1445)
(376, 2053)
38 input vectors with 3 parameters
Generating 376 parameters:
(4, 39)
(8, 77)
(303, 1483)
Stopping samplig
(19, 115)

*** Final SPOTPY summary ***
Total Duration: 8.96 seconds
Total Repetitions: 3000
Maximal objective value: -0.312102
Corresponding parameter setting:
x0: 1.63478
x1: 10.615
x2: 51.2084
******************************

(26, 153)
(36, 191)
(307, 1521)
(38, 229)
(47, 267)
(51, 305)
(312, 1559)
(58, 343)
(61, 381)
(320, 1597)
(65, 419)
(72, 457)
(79, 495)
(326, 1635)
(89, 533)
(99, 571)
(103, 609)
(332, 1673)
(110, 647)
(118, 685)
(123, 723)
(344, 1711)
(127, 761)
(130, 799)
(137, 837)
(353, 1749)
(145, 875)
(155, 913)
(163, 951)
(361, 1787)
(164, 989)
(169, 1027)
(365, 1825)
(174, 1065)
(181, 1103)
(191, 1141)
(372, 1863)
(195, 1179)
(199, 1217)
(206, 1255)
(379, 1901)
(213, 1293)
(215, 1331)
(218, 1369)
(225, 1407)
(229, 1445)
(233, 1483)
(237, 1521)
(238, 1559)
(245, 1597)
(252, 1635)
(263, 1673)
(270, 1711)
(276, 1749)
(285, 1787)
(305, 1825)
(310, 1863)
2475 of 3000, maximal objective function=-0.283842, time remaining: 00:00:01
(313, 1901)
4 Subset: Run 224 of 376 (best like=-0.283842)
(317, 1939)
(318, 1977)
(324, 2015)
(326, 2053)
(330, 2091)
(337, 2129)
(344, 2167)
(349, 2205)
(358, 2243)
(363, 2281)
(365, 2319)
(367, 2357)
(381, 2395)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(6, 77)
(10, 115)
(20, 153)
(21, 191)
(22, 229)
(25, 267)
(27, 305)
(31, 343)
(32, 381)
(38, 419)
(63, 457)
(66, 495)
(69, 533)
(73, 571)
(79, 609)
(84, 647)
(88, 685)
(89, 723)
(93, 761)
(98, 799)
(106, 837)
(109, 875)
(114, 913)
(120, 951)
(123, 989)
(128, 1027)
(130, 1065)
(131, 1103)
(137, 1141)
(142, 1179)
(144, 1217)
(151, 1255)
(157, 1293)
(160, 1331)
(162, 1369)
(164, 1407)
(172, 1445)
(174, 1483)
(178, 1521)
(179, 1559)
(185, 1597)
(187, 1635)
(192, 1673)
(195, 1711)
(203, 1749)
(206, 1787)
(207, 1825)
(211, 1863)
(231, 1901)
(237, 1939)
(243, 1977)
(246, 2015)
(251, 2053)
(256, 2091)
(259, 2129)
(262, 2167)
(263, 2205)
(275, 2243)
(280, 2281)
(283, 2319)
(287, 2357)
(290, 2395)
(297, 2433)
(304, 2471)
(307, 2509)
(312, 2547)
(316, 2585)
(320, 2623)
(328, 2661)
(335, 2699)
(339, 2737)
(347, 2775)
(351, 2813)
(356, 2851)
(361, 2889)
(365, 2927)
(368, 2965)
(372, 3003)
(374, 3041)
(375, 3079)
(378, 3117)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 9.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.617006
Corresponding parameter setting:
x0: 0.422661
x1: 28.9041
x2: 51.428
******************************

2614 of 3000, maximal objective function=-0.308292, time remaining: 00:00:01
4 Subset: Run 362 of 376 (best like=-0.308292)
150 input vectors with 3 parameters
Generating 376 parameters:
(104, 151)
(211, 301)
(328, 451)
(424, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
1500 of 3000, maximal objective function=-0.712902, time remaining: 00:00:04
2 Subset: Run 0 of 376 (best like=-0.712902)
(5, 39)
(12, 77)
(20, 115)
(21, 153)
(24, 191)
(26, 229)
(27, 267)
(29, 305)
(35, 343)
(42, 381)
(45, 419)
(51, 457)
(53, 495)
(55, 533)
(61, 571)
(64, 609)
(69, 647)
(75, 685)
(76, 723)
(82, 761)
(88, 799)
(98, 837)
(106, 875)
(110, 913)
(112, 951)
(117, 989)
(124, 1027)
(126, 1065)
(129, 1103)
(133, 1141)
(136, 1179)
(140, 1217)
(148, 1255)
(151, 1293)
(154, 1331)
(161, 1369)
(164, 1407)
(167, 1445)
(171, 1483)
(177, 1521)
(183, 1559)
(188, 1597)
(195, 1635)
(200, 1673)
(206, 1711)
(208, 1749)
(219, 1787)
(224, 1825)
(228, 1863)
(231, 1901)
(240, 1939)
(248, 1977)
(257, 2015)
(258, 2053)
(261, 2091)
(267, 2129)
(273, 2167)
(276, 2205)
(284, 2243)
(284, 2281)
(303, 2319)
(305, 2357)
(309, 2395)
(312, 2433)
(320, 2471)
(324, 2509)
(331, 2547)
(334, 2585)
(342, 2623)
(348, 2661)
(353, 2699)
(358, 2737)
(358, 2775)
(370, 2813)
(375, 2851)
(376, 2889)
38 input vectors with 3 parameters
Generating 376 parameters:
(2, 39)
(7, 77)
(10, 115)
(13, 153)
(13, 191)
(18, 229)
(25, 267)
(32, 305)
(37, 343)
(42, 381)
(42, 419)
(43, 457)
(47, 495)
(53, 533)
(56, 571)
(63, 609)
(68, 647)
(73, 685)
(80, 723)
(86, 761)
(90, 799)
(95, 837)
(96, 875)
(100, 913)
(101, 951)
(102, 989)
(109, 1027)
(112, 1065)
(118, 1103)
(124, 1141)
(126, 1179)
(132, 1217)
(134, 1255)
(144, 1293)
(146, 1331)
(151, 1369)
(156, 1407)
(159, 1445)
(163, 1483)
(167, 1521)
(170, 1559)
(172, 1597)
(182, 1635)
(186, 1673)
(191, 1711)
(193, 1749)
(197, 1787)
(203, 1825)
(210, 1863)
(213, 1901)
(216, 1939)
(221, 1977)
(223, 2015)
(231, 2053)
(234, 2091)
(241, 2129)
(244, 2167)
(248, 2205)
(255, 2243)
(264, 2281)
(266, 2319)
(267, 2357)
(272, 2395)
(274, 2433)
(283, 2471)
(289, 2509)
(292, 2547)
(297, 2585)
(301, 2623)
(305, 2661)
(309, 2699)
(314, 2737)
(322, 2775)
(326, 2813)
(328, 2851)
(330, 2889)
(333, 2927)
(335, 2965)
(342, 3003)
(350, 3041)
(351, 3079)
(356, 3117)
(358, 3155)
(363, 3193)
(366, 3231)
(367, 3269)
(371, 3307)
(372, 3345)
1342 of 3000, maximal objective function=-0.715267, time remaining: 00:00:05
1 Subset: Run 1341 of 1500 (best like=-0.715267)
(378, 3383)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 4.6 seconds
Total Repetitions: 3000
Maximal objective value: -0.205118
Corresponding parameter setting:
x0: 1.82281
x1: 9.73645
x2: 49.2477
******************************

150 input vectors with 3 parameters
Generating 376 parameters:
(109, 151)
(185, 301)
(305, 451)
(413, 601)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 9.8 seconds
Total Repetitions: 3000
Maximal objective value: -0.311475
Corresponding parameter setting:
x0: 0.967424
x1: 9.41691
x2: 49.8461
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(26, 39)
(48, 77)
(57, 115)
(75, 153)
(88, 191)
(106, 229)
(122, 267)
(136, 305)
(152, 343)
(170, 381)
(186, 419)
(202, 457)
(218, 495)
(243, 533)
(264, 571)
(281, 609)
(295, 647)
(311, 685)
(329, 723)
(350, 761)
(366, 799)
(388, 837)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 4.5 seconds
Total Repetitions: 3000
Maximal objective value: -0.234277
Corresponding parameter setting:
x0: 1.94919
x1: 9.87591
x2: 50.3708
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(22, 39)
(36, 77)
(66, 115)
(80, 153)
(102, 191)
(125, 229)
(143, 267)
(152, 305)
(162, 343)
(179, 381)
(204, 419)
(225, 457)
(237, 495)
(261, 533)
(274, 571)
(294, 609)
(313, 647)
(321, 685)
(331, 723)
(349, 761)
(361, 799)
(375, 837)
(392, 875)
38 input vectors with 3 parameters
Generating 376 parameters:
(6, 39)
(12, 77)
(17, 115)
(30, 153)
(36, 191)
(43, 229)
(53, 267)
(56, 305)
(64, 343)
(70, 381)
(76, 419)
(82, 457)
(105, 495)
(109, 533)
(130, 571)
(137, 609)
(140, 647)
(143, 685)
(152, 723)
(159, 761)
(168, 799)
(173, 837)
(183, 875)
(188, 913)
(195, 951)
(204, 989)
(214, 1027)
(215, 1065)
(220, 1103)
(227, 1141)
(235, 1179)
(246, 1217)
(254, 1255)
(268, 1293)
(275, 1331)
(284, 1369)
(291, 1407)
(302, 1445)
(312, 1483)
(316, 1521)
(325, 1559)
(334, 1597)
(340, 1635)
(359, 1673)
(364, 1711)
(371, 1749)
(378, 1787)
38 input vectors with 3 parameters
Generating 376 parameters:
(10, 39)
(27, 77)
(33, 115)
(38, 153)
(49, 191)
(63, 229)
(73, 267)
(78, 305)
(86, 343)
(97, 381)
(104, 419)
(109, 457)
(119, 495)
(124, 533)
(142, 571)
(149, 609)
(157, 647)
(170, 685)
(177, 723)
(185, 761)
(197, 799)
(205, 837)
(211, 875)
(221, 913)
(230, 951)
(240, 989)
(251, 1027)
(263, 1065)
(274, 1103)
(278, 1141)
(296, 1179)
(299, 1217)
(303, 1255)
(306, 1293)
(309, 1331)
(316, 1369)
(324, 1407)
(334, 1445)
(347, 1483)
(358, 1521)
(364, 1559)
(376, 1597)
38 input vectors with 3 parameters
Generating 376 parameters:
(15, 39)
(27, 77)
(30, 115)
(35, 153)
(45, 191)
(54, 229)
(68, 267)
(73, 305)
(82, 343)
(97, 381)
(102, 419)
(108, 457)
(118, 495)
(126, 533)
(131, 571)
(137, 609)
(147, 647)
(158, 685)
(166, 723)
(176, 761)
(182, 799)
(188, 837)
(197, 875)
(214, 913)
(218, 951)
(221, 989)
(226, 1027)
(230, 1065)
(241, 1103)
(251, 1141)
(259, 1179)
(264, 1217)
(267, 1255)
(272, 1293)
(281, 1331)
(296, 1369)
(314, 1407)
(319, 1445)
(325, 1483)
(335, 1521)
(340, 1559)
(347, 1597)
(361, 1635)
(368, 1673)
(379, 1711)
38 input vectors with 3 parameters
Generating 376 parameters:
(9, 39)
(17, 77)
(28, 115)
(30, 153)
(36, 191)
(39, 229)
(42, 267)
(45, 305)
(53, 343)
(59, 381)
(63, 419)
(70, 457)
(73, 495)
(74, 533)
(78, 571)
(88, 609)
(94, 647)
(99, 685)
(105, 723)
(108, 761)
(114, 799)
(116, 837)
(123, 875)
(126, 913)
(131, 951)
(134, 989)
(145, 1027)
(154, 1065)
(160, 1103)
(163, 1141)
(176, 1179)
(182, 1217)
(185, 1255)
(188, 1293)
(193, 1331)
(198, 1369)
(203, 1407)
(205, 1445)
(210, 1483)
(213, 1521)
(218, 1559)
(222, 1597)
(224, 1635)
(230, 1673)
(237, 1711)
(239, 1749)
(249, 1787)
(259, 1825)
(266, 1863)
(274, 1901)
(280, 1939)
(284, 1977)
(289, 2015)
(293, 2053)
(295, 2091)
(300, 2129)
(301, 2167)
(303, 2205)
(306, 2243)
(309, 2281)
(314, 2319)
(317, 2357)
(321, 2395)
(324, 2433)
(328, 2471)
(329, 2509)
(330, 2547)
(342, 2585)
(346, 2623)
(357, 2661)
(362, 2699)
(366, 2737)
(369, 2775)
(373, 2813)
(375, 2851)
(379, 2889)
38 input vectors with 3 parameters
Generating 376 parameters:
(7, 39)
(14, 77)
(20, 115)
(24, 153)
(25, 191)
(32, 229)
(36, 267)
(39, 305)
(41, 343)
(42, 381)
(47, 419)
(52, 457)
(57, 495)
(60, 533)
(66, 571)
(69, 609)
(74, 647)
(78, 685)
(80, 723)
(86, 761)
(94, 799)
(96, 837)
(102, 875)
(113, 913)
(115, 951)
(120, 989)
(124, 1027)
(126, 1065)
(132, 1103)
(138, 1141)
(141, 1179)
(147, 1217)
(156, 1255)
(160, 1293)
(166, 1331)
(167, 1369)
(177, 1407)
(183, 1445)
(187, 1483)
(190, 1521)
(198, 1559)
(202, 1597)
(209, 1635)
(218, 1673)
(222, 1711)
(229, 1749)
(234, 1787)
(240, 1825)
(242, 1863)
(244, 1901)
(247, 1939)
(258, 1977)
(265, 2015)
(270, 2053)
(273, 2091)
(279, 2129)
(285, 2167)
(289, 2205)
(290, 2243)
(298, 2281)
(304, 2319)
(311, 2357)
(320, 2395)
(326, 2433)
(333, 2471)
(340, 2509)
(345, 2547)
(349, 2585)
(359, 2623)
(368, 2661)
(377, 2699)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.48 seconds
Total Repetitions: 3000
Maximal objective value: -0.249917
Corresponding parameter setting:
x0: 1.82628
x1: 9.82733
x2: 48.4398
******************************

100%|████████████████████████████████████████| 20/20 [00:00<00:00, 26495.92it/s]
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.64 seconds
Total Repetitions: 3000
Maximal objective value: -0.348567
Corresponding parameter setting:
x0: 1.78793
x1: 9.42571
x2: 47.5126
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']

732 of 3000, maximal objective function=-0.481572, time remaining: 00:00:06
1 Subset: Run 731 of 1500 (best like=-0.481572)
732 of 3000, maximal objective function=-0.461043, time remaining: 00:00:06
1 Subset: Run 731 of 1500 (best like=-0.461043)
720 of 3000, maximal objective function=-0.446673, time remaining: 00:00:06
1 Subset: Run 719 of 1500 (best like=-0.446673)
1 Subset: Run 368 of 1500 (best like=-0.763455)
372 of 3000, maximal objective function=-0.588865, time remaining: 00:00:14
1 Subset: Run 371 of 1500 (best like=-0.588865)
370 of 3000, maximal objective function=-0.763455, time remaining: 00:00:14
313 of 3000, maximal objective function=-0.574373, time remaining: 00:00:17
1 Subset: Run 312 of 1500 (best like=-0.574373)
367 of 3000, maximal objective function=-0.489304, time remaining: 00:00:14350 of 3000, maximal objective function=-0.356665, time remaining: 00:00:15
1 Subset: Run 349 of 1500 (best like=-0.356665)

1 Subset: Run 366 of 1500 (best like=-0.489304)
311 of 3000, maximal objective function=-0.670668, time remaining: 00:00:17
1 Subset: Run 310 of 1500 (best like=-0.670668)
357 of 3000, maximal objective function=-0.576288, time remaining: 00:00:15
1 Subset: Run 356 of 1500 (best like=-0.576288)
724 of 3000, maximal objective function=-0.538614, time remaining: 00:00:06
1 Subset: Run 723 of 1500 (best like=-0.538614)
330 of 3000, maximal objective function=-0.436321, time remaining: 00:00:16
1 Subset: Run 329 of 1500 (best like=-0.436321)
721 of 3000, maximal objective function=-0.55316, time remaining: 00:00:06
1 Subset: Run 720 of 1500 (best like=-0.55316)
818 of 3000, maximal objective function=-0.301706, time remaining: 00:00:05
1 Subset: Run 817 of 1500 (best like=-0.301706)
527 of 3000, maximal objective function=-0.590522, time remaining: 00:00:09
1 Subset: Run 526 of 1500 (best like=-0.590522)
714 of 3000, maximal objective function=-0.649244, time remaining: 00:00:06
1 Subset: Run 713 of 1500 (best like=-0.649244)
1373 of 3000, maximal objective function=-0.322328, time remaining: 00:00:05
1 Subset: Run 1372 of 1500 (best like=-0.322328)
1 Subset: Run 728 of 1500 (best like=-0.546852)
1229 of 3000, maximal objective function=-0.446673, time remaining: 00:00:06
1 Subset: Run 1228 of 1500 (best like=-0.446673)
1240 of 3000, maximal objective function=-0.431318, time remaining: 00:00:06
1 Subset: Run 1239 of 1500 (best like=-0.431318)
849 of 3000, maximal objective function=-0.509696, time remaining: 00:00:10
1 Subset: Run 848 of 1500 (best like=-0.509696)
730 of 3000, maximal objective function=-0.546852, time remaining: 00:00:12
696 of 3000, maximal objective function=-0.349101, time remaining: 00:00:13
1 Subset: Run 695 of 1500 (best like=-0.349101)
666 of 3000, maximal objective function=-0.454611, time remaining: 00:00:14
1 Subset: Run 665 of 1500 (best like=-0.454611)
727 of 3000, maximal objective function=-0.448642, time remaining: 00:00:13
1 Subset: Run 726 of 1500 (best like=-0.448642)
1385 of 3000, maximal objective function=-0.538614, time remaining: 00:00:05
1 Subset: Run 1384 of 1500 (best like=-0.538614)
651 of 3000, maximal objective function=-0.670668, time remaining: 00:00:14
1 Subset: Run 650 of 1500 (best like=-0.670668)
712 of 3000, maximal objective function=-0.353336, time remaining: 00:00:13
1 Subset: Run 711 of 1500 (best like=-0.353336)
644 of 3000, maximal objective function=-0.436321, time remaining: 00:00:151374 of 3000, maximal objective function=-0.514263, time remaining: 00:00:05
1 Subset: Run 1373 of 1500 (best like=-0.514263)
1473 of 3000, maximal objective function=-0.301706, time remaining: 00:00:04
1 Subset: Run 1472 of 1500 (best like=-0.301706)
1122 of 3000, maximal objective function=-0.590522, time remaining: 00:00:07
1 Subset: Run 1121 of 1500 (best like=-0.590522)

1 Subset: Run 643 of 1500 (best like=-0.436321)
1489 of 3000, maximal objective function=-0.499557, time remaining: 00:00:04
1 Subset: Run 1488 of 1500 (best like=-0.499557)
150 input vectors with 3 parameters
Generating 376 parameters:
(129, 151)
(223, 301)
(292, 451)
(402, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(89, 151)
(190, 301)
(286, 451)
(384, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(111, 151)
(100, 151)
(97, 151)
(204, 301)
(180, 301)
(273, 451)
(185, 301)
(285, 451)
(263, 451)
(398, 601)
(395, 601)
(361, 601)
(451, 751)
150 input vectors with 3 parameters
Generating 376 parameters:
(122, 151)
(222, 301)
(284, 451)
(382, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(31, 77)
(49, 115)
(66, 153)
(84, 191)
(103, 229)
(113, 267)
(124, 305)
(132, 343)
(154, 381)
(172, 419)
(191, 457)
(200, 495)
(216, 533)
(233, 571)
(252, 609)
(269, 647)
(285, 685)
(298, 723)
(315, 761)
(325, 799)
(339, 837)
(356, 875)
(377, 913)
38 input vectors with 3 parameters
Generating 376 parameters:
(23, 39)
(47, 77)
(76, 115)
(93, 153)
(115, 191)
(128, 229)
(154, 267)
(173, 305)
(194, 343)
(220, 381)
(245, 419)
(263, 457)
(283, 495)
(315, 533)
(329, 571)
(348, 609)
(367, 647)
(386, 685)
150 input vectors with 3 parameters
Generating 376 parameters:
(90, 151)
(211, 301)
(319, 451)
(423, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(26, 39)
(41, 77)
150 input vectors with 3 parameters
Generating 376 parameters:
(58, 115)
(73, 153)
(91, 191)
(117, 229)
(143, 267)
(116, 151)
(164, 305)
(180, 343)
(198, 381)
(220, 419)
(235, 301)
(244, 457)
(261, 495)
(282, 533)
(304, 571)
(334, 451)
(316, 609)
(334, 647)
(361, 685)
(375, 723)
(422, 601)
(393, 761)
38 input vectors with 3 parameters
Generating 376 parameters:
(27, 39)
(44, 77)
(65, 115)
(94, 153)
(121, 191)
38 input vectors with 3 parameters
Generating 376 parameters:
(143, 229)
(25, 39)
(162, 267)
(43, 77)
(64, 115)
(186, 305)
(91, 153)
(215, 343)
(112, 191)
(242, 381)
(131, 229)
(263, 419)
(151, 267)
(284, 457)
(171, 305)
(310, 495)
(197, 343)
(337, 533)
(215, 381)
(367, 571)
(236, 419)
(394, 609)
(262, 457)
(294, 495)
(320, 533)
(344, 571)
(363, 609)
(389, 647)
150 input vectors with 3 parameters
Generating 376 parameters:
(106, 151)
(206, 301)
(319, 451)
1941 of 3000, maximal objective function=-0.322328, time remaining: 00:00:03
3 Subset: Run 65 of 376 (best like=-0.322328)
(423, 601)
1562 of 3000, maximal objective function=-0.446673, time remaining: 00:00:06
2 Subset: Run 62 of 376 (best like=-0.446673)
1585 of 3000, maximal objective function=-0.431318, time remaining: 00:00:051502 of 3000, maximal objective function=-0.242084, time remaining: 00:00:06

2 Subset: Run 85 of 376 (best like=-0.431318)
2 Subset: Run 2 of 376 (best like=-0.242084)
1 Subset: Run 1087 of 1500 (best like=-0.451344)
1042 of 3000, maximal objective function=-0.349101, time remaining: 00:00:11
1 Subset: Run 1041 of 1500 (best like=-0.349101)
1089 of 3000, maximal objective function=-0.451344, time remaining: 00:00:11
1090 of 3000, maximal objective function=-0.448642, time remaining: 00:00:11
1 Subset: Run 1089 of 1500 (best like=-0.448642)
1007 of 3000, maximal objective function=-0.401078, time remaining: 00:00:12
1 Subset: Run 1006 of 1500 (best like=-0.401078)
1954 of 3000, maximal objective function=-0.457047, time remaining: 00:00:03
3 Subset: Run 78 of 376 (best like=-0.457047)
976 of 3000, maximal objective function=-0.533764, time remaining: 00:00:12
1 Subset: Run 975 of 1500 (best like=-0.533764)
2000 of 3000, maximal objective function=-0.437148, time remaining: 00:00:03
3 Subset: Run 124 of 376 (best like=-0.437148)
2094 of 3000, maximal objective function=-0.301706, time remaining: 00:00:03
3 Subset: Run 218 of 376 (best like=-0.301706)
1012 of 3000, maximal objective function=-0.353336, time remaining: 00:00:12
1 Subset: Run 1011 of 1500 (best like=-0.353336)
1773 of 3000, maximal objective function=-0.398769, time remaining: 00:00:04
2 Subset: Run 273 of 376 (best like=-0.398769)
1287 of 3000, maximal objective function=-0.436321, time remaining: 00:00:08
1 Subset: Run 1286 of 1500 (best like=-0.436321)
2061 of 3000, maximal objective function=-0.383482, time remaining: 00:00:03
3 Subset: Run 185 of 376 (best like=-0.383482)
38 input vectors with 3 parameters
Generating 376 parameters:
(10, 39)
(34, 77)
(49, 115)
(62, 153)
(81, 191)
(103, 229)
(118, 267)
(131, 305)
(150, 343)
(170, 381)
(186, 419)
(204, 457)
(221, 495)
(233, 533)
(255, 571)
(264, 609)
(284, 647)
(297, 685)
(312, 723)
(332, 761)
(351, 799)
(374, 837)
(389, 875)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(32, 77)
(37, 115)
(49, 153)
(57, 191)
(64, 229)
(81, 267)
(96, 305)
(108, 343)
(121, 381)
(138, 419)
(143, 457)
(153, 495)
(162, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(188, 571)
(10, 39)
(196, 609)
(207, 647)
(20, 77)
(219, 685)
(25, 115)
(224, 723)
(34, 153)
(48, 191)
(240, 761)
(58, 229)
(252, 799)
(73, 267)
(81, 305)
(262, 837)
(94, 343)
(271, 875)
(102, 381)
(282, 913)
(114, 419)
(290, 951)
(127, 457)
(308, 989)
(139, 495)
(146, 533)
(321, 1027)
(158, 571)
(335, 1065)
150 input vectors with 3 parameters
Generating 376 parameters:
(167, 609)
(347, 1103)
(174, 647)
(358, 1141)
(183, 685)
(366, 1179)
(66, 151)
(190, 723)
(374, 1217)
(198, 761)
(381, 1255)
(211, 799)
(159, 301)
(228, 837)
(240, 875)
(256, 451)
(247, 913)
(267, 951)
(282, 989)
(338, 601)
(297, 1027)
(314, 1065)
(326, 1103)
(435, 751)
(337, 1141)
(348, 1179)
(357, 1217)
(377, 1255)
38 input vectors with 3 parameters
Generating 376 parameters:
(16, 39)
(21, 77)
(34, 115)
(50, 153)
(60, 191)
(65, 229)
(73, 267)
(86, 305)
(94, 343)
(104, 381)
(115, 419)
(126, 457)
(136, 495)
(151, 533)
(162, 571)
(172, 609)
(180, 647)
(197, 685)
(206, 723)
(210, 761)
(221, 799)
(228, 837)
(236, 875)
(242, 913)
(247, 951)
(261, 989)
(268, 1027)
(283, 1065)
(289, 1103)
(295, 1141)
(305, 1179)
(311, 1217)
(324, 1255)
(332, 1293)
(341, 1331)
(354, 1369)
(367, 1407)
(372, 1445)
(384, 1483)
38 input vectors with 3 parameters
Generating 376 parameters:
(13, 39)
(27, 77)
(36, 115)
(58, 153)
(75, 191)
(95, 229)
(111, 267)
(132, 305)
(146, 343)
(160, 381)
(175, 419)
(180, 457)
(192, 495)
(201, 533)
(216, 571)
(233, 609)
(245, 647)
(259, 685)
(275, 723)
(295, 761)
(308, 799)
(321, 837)
(337, 875)
(351, 913)
(362, 951)
(377, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(24, 39)
(52, 77)
(75, 115)
(102, 153)
(123, 191)
(152, 229)
(176, 267)
(194, 305)
(215, 343)
(237, 381)
(254, 419)
(281, 457)
(299, 495)
(324, 533)
(349, 571)
(370, 609)
(385, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(9, 39)
(18, 77)
(33, 115)
(41, 153)
(43, 191)
(54, 229)
(62, 267)
(67, 305)
(71, 343)
(79, 381)
(84, 419)
(93, 457)
(101, 495)
(108, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(118, 571)
(28, 39)
(126, 609)
(137, 647)
(54, 77)
(148, 685)
(81, 115)
(153, 723)
(104, 153)
(161, 761)
(128, 191)
(176, 799)
(149, 229)(181, 837)

(192, 875)
(176, 267)
(200, 913)
(204, 305)
(206, 951)
(235, 343)
(214, 989)
(261, 381)
(222, 1027)
(231, 1065)
(285, 419)
(241, 1103)
(308, 457)
(245, 1141)
(333, 495)
(253, 1179)
(364, 533)
(261, 1217)
(383, 571)
(265, 1255)
(278, 1293)
(286, 1331)
(299, 1369)
(305, 1407)
(317, 1445)
(321, 1483)
(328, 1521)
(335, 1559)
(340, 1597)
(349, 1635)
(356, 1673)
(360, 1711)
(364, 1749)
(372, 1787)
(384, 1825)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(15, 39)
(5, 39)
(35, 77)
(11, 77)
38 input vectors with 3 parameters
Generating 376 parameters:
(51, 115)
(19, 115)
(65, 153)
(14, 39)
(25, 153)
(84, 191)
(30, 191)
(37, 77)
(98, 229)
(35, 229)
(114, 267)
(43, 267)
(66, 115)
(131, 305)
(50, 305)
(53, 343)
(148, 343)
(87, 153)
(64, 381)
(167, 381)
(71, 419)(116, 191)

(181, 419)
(85, 457)
(194, 457)
(148, 229)
(97, 495)
(214, 495)
(103, 533)
(232, 533)
(173, 267)
(114, 571)
(247, 571)
(120, 609)
(200, 305)
(258, 609)
(126, 647)
(271, 647)
(137, 685)
(231, 343)
(142, 723)
(287, 685)
(145, 761)
(300, 723)
(259, 381)
(149, 799)
(313, 761)
(150, 837)
(288, 419)
(320, 799)
(156, 875)
(336, 837)
(162, 913)
(316, 457)
(351, 875)
(168, 951)
(367, 913)
(340, 495)
(172, 989)
(379, 951)
(176, 1027)
(364, 533)
(180, 1065)
(188, 1103)
(384, 571)
(193, 1141)
(200, 1179)
(208, 1217)
(215, 1255)
(223, 1293)
(233, 1331)
(238, 1369)
(243, 1407)
(251, 1445)
(257, 1483)
(261, 1521)
(270, 1559)
(277, 1597)
(282, 1635)
(288, 1673)
(295, 1711)
(306, 1749)
(312, 1787)
(315, 1825)
(319, 1863)
(326, 1901)
(330, 1939)
(338, 1977)
(344, 2015)
(351, 2053)
(355, 2091)
(359, 2129)
(362, 2167)
(368, 2205)
(376, 2243)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)38 input vectors with 3 parameters
Generating 376 parameters:

(19, 77)
(5, 39)
(22, 115)
(12, 77)
38 input vectors with 3 parameters
Generating 376 parameters:
(19, 115)(27, 153)

(27, 39)
(33, 191)
(47, 77)
(31, 153)
150 input vectors with 3 parameters
Generating 376 parameters:
(69, 115)
(39, 229)
(37, 191)
(96, 153)
(43, 267)
(40, 229)
(121, 191)
(109, 151)
(48, 305)
(45, 267)
(144, 229)
(53, 343)
(52, 305)
(177, 267)
(211, 301)
(58, 381)
(54, 343)(200, 305)

(63, 419)
(226, 343)
(54, 381)
(300, 451)
(242, 381)
(64, 457)
(58, 419)
(264, 419)
(69, 495)
(71, 457)
(283, 457)
(406, 601)
(72, 533)
(74, 495)
(306, 495)
(77, 571)
(83, 533)
(333, 533)
(81, 609)
(354, 571)
(88, 571)
(83, 647)
(376, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(94, 609)
(86, 685)
(20, 39)
(95, 647)
(91, 723)
(46, 77)
(98, 685)
(98, 761)
(70, 115)
(104, 723)
(91, 153)
(105, 799)
(106, 761)
(120, 191)
(113, 837)
(113, 799)
(149, 229)
(115, 875)
(161, 267)
(116, 837)
(119, 913)
(185, 305)
(121, 875)
(127, 951)
(208, 343)
(131, 913)
(236, 381)
2342 of 3000, maximal objective function=-0.241076, time remaining: 00:00:02
4 Subset: Run 90 of 376 (best like=-0.241076)
(134, 989)
(136, 951)
(264, 419)
(138, 1027)
(281, 457)(142, 989)

(150, 1065)
(309, 495)
(160, 1027)
(156, 1103)
(334, 533)
(165, 1065)
1908 of 3000, maximal objective function=-0.431318, time remaining: 00:00:05
3 Subset: Run 32 of 376 (best like=-0.431318)
(161, 1141)
38 input vectors with 3 parameters
Generating 376 parameters:
2131 of 3000, maximal objective function=-0.242084, time remaining: 00:00:03
3 Subset: Run 255 of 376 (best like=-0.242084)
(352, 571)
2 Subset: Run 16 of 376 (best like=-0.431378)
(168, 1103)
(4, 39)
(170, 1179)
(380, 609)
(8, 77)
(176, 1141)
(14, 115)
(182, 1217)
1518 of 3000, maximal objective function=-0.431378, time remaining: 00:00:081876 of 3000, maximal objective function=-0.446673, time remaining: 00:00:05

3 Subset: Run 0 of 376 (best like=-0.446673)
(184, 1179)
1385 of 3000, maximal objective function=-0.349101, time remaining: 00:00:09
(19, 153)1 Subset: Run 1384 of 1500 (best like=-0.349101)

(190, 1255)
(28, 191)
1429 of 3000, maximal objective function=-0.448642, time remaining: 00:00:09
1 Subset: Run 1428 of 1500 (best like=-0.448642)
(193, 1217)
(32, 229)
1340 of 3000, maximal objective function=-0.401078, time remaining: 00:00:10
1 Subset: Run 1339 of 1500 (best like=-0.401078)
(196, 1293)
2593 of 3000, maximal objective function=-0.279528, time remaining: 00:00:01
(198, 1255)
4 Subset: Run 341 of 376 (best like=-0.279528)
(35, 267)
(201, 1331)
(38, 305)
(209, 1293)
(41, 343)
1307 of 3000, maximal objective function=-0.533764, time remaining: 00:00:10
1 Subset: Run 1306 of 1500 (best like=-0.533764)
(205, 1369)
(50, 381)
(213, 1331)
(209, 1407)(50, 419)

(216, 1369)
(52, 457)
1367 of 3000, maximal objective function=-0.348656, time remaining: 00:00:10
(215, 1445)
1 Subset: Run 1366 of 1500 (best like=-0.348656)
(57, 495)
(219, 1407)
(63, 533)(218, 1483)

1950 of 3000, maximal objective function=-0.354947, time remaining: 00:00:04(225, 1445)
3 Subset: Run 74 of 376 (best like=-0.354947)

2344 of 3000, maximal objective function=-0.211188, time remaining: 00:00:02
4 Subset: Run 92 of 376 (best like=-0.211188)
(70, 571)
(227, 1521)
(74, 609)
(233, 1483)
(81, 647)
(236, 1559)
(233, 1521)
(83, 685)
(240, 1597)
(87, 723)
(92, 761)
(248, 1635)
(239, 1559)
(101, 799)
(254, 1673)
(106, 837)
(243, 1597)
(108, 875)
(259, 1711)
(247, 1635)
(114, 913)
(266, 1749)
(116, 951)
(252, 1673)
(120, 989)
(273, 1787)
(256, 1711)
(128, 1027)
(280, 1825)
(131, 1065)
(264, 1749)
(136, 1103)
(285, 1863)
(271, 1787)
(143, 1141)
(294, 1901)
(148, 1179)
(280, 1825)
(157, 1217)
(300, 1939)
(282, 1863)
(161, 1255)
(304, 1977)
(168, 1293)
(284, 1901)
(173, 1331)
(307, 2015)
(178, 1369)
(295, 1939)
(316, 2053)
(182, 1407)
(302, 1977)
(195, 1445)
(319, 2091)
(305, 2015)
(200, 1483)
(326, 2129)
(205, 1521)
(313, 2053)
(207, 1559)
(335, 2167)
(215, 1597)(318, 2091)

(343, 2205)
(222, 1635)
(326, 2129)
(224, 1673)
(351, 2243)
(230, 1711)
(336, 2167)
(355, 2281)
(234, 1749)
(344, 2205)
(236, 1787)
(369, 2319)
(242, 1825)
(351, 2243)
(374, 2357)
(247, 1863)
(355, 2281)
(261, 1901)
(383, 2395)
(265, 1939)
(362, 2319)
(274, 1977)
(366, 2357)
(281, 2015)
2628 of 3000, maximal objective function=-0.176389, time remaining: 00:00:01
5 Subset: Run 0 of 376 (best like=-0.176389)
(373, 2395)
(288, 2053)
38 input vectors with 3 parameters
Generating 376 parameters:
(294, 2091)
(379, 2433)
(11, 39)
(300, 2129)
(20, 77)
(304, 2167)
(27, 115)
(312, 2205)
2628 of 3000, maximal objective function=-0.158375, time remaining: 00:00:01
5 Subset: Run 0 of 376 (best like=-0.158375)
(35, 153)
(314, 2243)
(45, 191)
(317, 2281)
(323, 2319)
(63, 229)
(327, 2357)
(70, 267)
(329, 2395)
(84, 305)
(329, 2433)
(90, 343)
(335, 2471)
(100, 381)
(344, 2509)
(111, 419)
(349, 2547)
(115, 457)
(357, 2585)
(131, 495)
(367, 2623)
(139, 533)
(371, 2661)
(151, 571)
(376, 2699)
38 input vectors with 3 parameters
Generating 376 parameters:
(161, 609)
(26, 39)
(165, 647)
(30, 77)
(174, 685)
(38, 115)
(185, 723)
(42, 153)
(195, 761)
(46, 191)
(204, 799)
(51, 229)
(215, 837)
(61, 267)
(226, 875)
(64, 305)
(233, 913)
(70, 343)
(245, 951)
(78, 381)
(249, 989)
(85, 419)
(259, 1027)
(90, 457)
(267, 1065)
(99, 495)
(275, 1103)
(109, 533)
(290, 1141)
(115, 571)
(293, 1179)
(123, 609)
(299, 1217)
(128, 647)
(307, 1255)
(132, 685)
(317, 1293)
(136, 723)
(323, 1331)
(142, 761)
(331, 1369)
(146, 799)
(339, 1407)
(152, 837)
(348, 1445)
(162, 875)
(358, 1483)
(168, 913)
(368, 1521)
(174, 951)
(377, 1559)
(180, 989)
(185, 1027)
(189, 1065)
(191, 1103)
(194, 1141)
(203, 1179)
(210, 1217)
(216, 1255)
(219, 1293)
(226, 1331)
(237, 1369)
(240, 1407)
(244, 1445)
(250, 1483)
(257, 1521)
(266, 1559)
(272, 1597)
(277, 1635)
(283, 1673)
(289, 1711)
(294, 1749)
(299, 1787)
(304, 1825)
(305, 1863)
(305, 1901)
(309, 1939)
(313, 1977)
(322, 2015)
(329, 2053)
(333, 2091)
(336, 2129)
(339, 2167)
(342, 2205)
(347, 2243)
(350, 2281)
(350, 2319)
(356, 2357)
(359, 2395)
(365, 2433)
(372, 2471)
(376, 2509)
38 input vectors with 3 parameters
Generating 376 parameters:
(6, 39)
(8, 77)
(13, 115)
(18, 153)
(21, 191)
(27, 229)
(33, 267)
(37, 305)
(43, 343)
(48, 381)
(50, 419)
(55, 457)
(58, 495)
(69, 533)
(75, 571)
(79, 609)
(80, 647)
(88, 685)
(96, 723)
(104, 761)
(108, 799)
(118, 837)
(125, 875)
(130, 913)
(134, 951)
(137, 989)
(142, 1027)
(149, 1065)
(154, 1103)
(158, 1141)
(167, 1179)
(174, 1217)
(179, 1255)
(187, 1293)
38 input vectors with 3 parameters
Generating 376 parameters:
(194, 1331)
(15, 39)
(196, 1369)
(34, 77)
(200, 1407)
(201, 1445)
(47, 115)
(208, 1483)
(57, 153)
(211, 1521)
(76, 191)
(214, 1559)
(86, 229)
(218, 1597)
(102, 267)
(225, 1635)
(114, 305)
(235, 1673)
(135, 343)
(237, 1711)
(154, 381)
(242, 1749)
(172, 419)
(254, 1787)
(259, 1825)
(195, 457)
(262, 1863)
(204, 495)
(268, 1901)
(216, 533)
(271, 1939)
(229, 571)
(276, 1977)
150 input vectors with 3 parameters
Generating 376 parameters:
(239, 609)
(280, 2015)
(251, 647)
(291, 2053)
(266, 685)
(296, 2091)
(280, 723)
(300, 2129)
(294, 761)
(303, 2167)
(99, 151)
(312, 2205)
(312, 799)
(318, 2243)
(324, 837)
(320, 2281)
(334, 875)
(326, 2319)
(345, 913)
(197, 301)
(329, 2357)
(359, 951)
(332, 2395)
(370, 989)
(340, 2433)
(382, 1027)
(344, 2471)
(357, 2509)
(299, 451)
(360, 2547)
(368, 2585)
(372, 2623)
(375, 2661)
(379, 2699)
(400, 601)
2628 of 3000, maximal objective function=-0.274377, time remaining: 00:00:01
5 Subset: Run 0 of 376 (best like=-0.274377)
150 input vectors with 3 parameters
Generating 376 parameters:
(129, 151)
(232, 301)
(344, 451)
(435, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(106, 151)
(235, 301)
(366, 451)
(456, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(23, 39)
(52, 77)
(76, 115)
(96, 153)
(125, 191)
(150, 229)
(174, 267)
(198, 305)
(219, 343)
(244, 381)
(271, 419)
(302, 457)
(327, 495)
(350, 533)
(364, 571)
(388, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(11, 39)
(15, 77)
(20, 115)
(22, 153)
(26, 191)
(31, 229)
(37, 267)
(43, 305)
(44, 343)
(49, 381)
(56, 419)
150 input vectors with 3 parameters
Generating 376 parameters:
(60, 457)
(67, 495)
(79, 533)
(83, 571)
(76, 151)
(90, 609)
(95, 647)
(98, 685)
38 input vectors with 3 parameters
Generating 376 parameters:
(101, 723)
(10, 39)
(108, 761)
(15, 77)
(162, 301)
(115, 799)
(24, 115)
(123, 837)
(43, 153)
(127, 875)
(48, 191)
(134, 913)
(55, 229)
(139, 951)
(264, 451)(63, 267)

(145, 989)
(67, 305)
(152, 1027)
(76, 343)
(161, 1065)
(83, 381)
(166, 1103)
(102, 419)
(169, 1141)
(364, 601)
(112, 457)
(175, 1179)
(120, 495)
(176, 1217)
(125, 533)
(182, 1255)
(131, 571)
(192, 1293)
(136, 609)
(196, 1331)
(465, 751)
(146, 647)
(201, 1369)
(154, 685)
(204, 1407)
(164, 723)
(208, 1445)
(172, 761)
(213, 1483)
(180, 799)
(216, 1521)
(183, 837)
(225, 1559)
(189, 875)
(225, 1597)
(200, 913)
(232, 1635)
(206, 951)
(239, 1673)
(213, 989)
(249, 1711)
(222, 1027)
(255, 1749)
(230, 1065)
(263, 1787)
(240, 1103)
(270, 1825)
(254, 1141)
(273, 1863)
(258, 1179)
(280, 1901)
(274, 1217)
(283, 1939)
(280, 1255)
(285, 1977)
(288, 2015)
(292, 1293)
(306, 1331)
(292, 2053)
(296, 2091)(309, 1369)

(302, 2129)
(320, 1407)
(306, 2167)
(332, 1445)
(319, 2205)
(363, 1483)
(325, 2243)
(370, 1521)
(334, 2281)
(382, 1559)
(349, 2319)
(353, 2357)
(361, 2395)
(362, 2433)
(371, 2471)
(378, 2509)
38 input vectors with 3 parameters
Generating 376 parameters:
(22, 39)
(47, 77)
(73, 115)
(96, 153)
(119, 191)
(148, 229)
(178, 267)
(211, 305)
(235, 343)
(257, 381)
(288, 419)
(300, 457)
(333, 495)
(361, 533)
(393, 571)
150 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(26, 39)
(40, 77)
(133, 151)
(64, 115)
(99, 153)
(118, 191)
(137, 229)
(160, 267)
(225, 301)
(188, 305)
(212, 343)
(235, 381)
(257, 419)
(283, 457)
(304, 451)
(307, 495)
(341, 533)
(370, 571)
(390, 609)
(397, 601)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 9.29 seconds
Total Repetitions: 3000
Maximal objective value: -0.253363
Corresponding parameter setting:
x0: 1.15149
x1: 8.53061
x2: 47.2837
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 9.67 seconds
Total Repetitions: 3000
Maximal objective value: -0.135539
Corresponding parameter setting:
x0: 1.69059
x1: 10.8141
x2: 51.6827
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
38 input vectors with 3 parameters
Generating 376 parameters:
(16, 39)
(22, 77)
(31, 115)
(48, 153)
(56, 191)
(65, 229)
(76, 267)
(87, 305)
(106, 343)
(121, 381)
(131, 419)
(144, 457)
(156, 495)
(178, 533)
(189, 571)
(197, 609)
(213, 647)
(226, 685)
(237, 723)
(242, 761)
(247, 799)
(267, 837)
(281, 875)
(287, 913)
(296, 951)
(304, 989)
(316, 1027)
(324, 1065)
(343, 1103)
(349, 1141)
(361, 1179)
(373, 1217)
(381, 1255)
38 input vectors with 3 parameters
Generating 376 parameters:
(30, 39)
(58, 77)
(84, 115)
(107, 153)
(131, 191)
(159, 229)
(185, 267)
(201, 305)
(232, 343)
(261, 381)
(288, 419)
(305, 457)
(324, 495)
(348, 533)
2983 of 3000, maximal objective function=-0.16521, time remaining: 00:00:00
5 Subset: Run 355 of 376 (best like=-0.16521)
(375, 571)
(396, 609)
2252 of 3000, maximal objective function=-0.356309, time remaining: 00:00:03
4 Subset: Run 0 of 376 (best like=-0.356309)
3 Subset: Run 284 of 376 (best like=-0.383191)
2696 of 3000, maximal objective function=-0.213414, time remaining: 00:00:01
5 Subset: Run 68 of 376 (best like=-0.213414)
2162 of 3000, maximal objective function=-0.383191, time remaining: 00:00:04
2507 of 3000, maximal objective function=-0.339653, time remaining: 00:00:02
4 Subset: Run 255 of 376 (best like=-0.339653)
1711 of 3000, maximal objective function=-0.349101, time remaining: 00:00:08
2 Subset: Run 211 of 376 (best like=-0.349101)
1677 of 3000, maximal objective function=-0.401078, time remaining: 00:00:08
2 Subset: Run 177 of 376 (best like=-0.401078)
1752 of 3000, maximal objective function=-0.443413, time remaining: 00:00:07
2 Subset: Run 252 of 376 (best like=-0.443413)
1632 of 3000, maximal objective function=-0.53237, time remaining: 00:00:08
2 Subset: Run 132 of 376 (best like=-0.53237)
1710 of 3000, maximal objective function=-0.348656, time remaining: 00:00:08
2 Subset: Run 210 of 376 (best like=-0.348656)
2929 of 3000, maximal objective function=-0.197309, time remaining: 00:00:00
5 Subset: Run 301 of 376 (best like=-0.197309)
2581 of 3000, maximal objective function=-0.24659, time remaining: 00:00:02
4 Subset: Run 329 of 376 (best like=-0.24659)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 10.06 seconds
Total Repetitions: 3000
Maximal objective value: -0.16521
Corresponding parameter setting:
x0: 1.12423
x1: 46.2186
x2: 50.8515
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
2962 of 3000, maximal objective function=-0.176389, time remaining: 00:00:00
5 Subset: Run 334 of 376 (best like=-0.176389)
2965 of 3000, maximal objective function=-0.158375, time remaining: 00:00:00
5 Subset: Run 337 of 376 (best like=-0.158375)
38 input vectors with 3 parameters
Generating 376 parameters:
(4, 39)
(9, 77)
(12, 115)
(16, 153)
(22, 191)
(29, 229)
(32, 267)
(34, 305)
(37, 343)
(38, 381)
(45, 419)
(50, 457)
(62, 495)
(76, 533)
(81, 571)
(82, 609)
(85, 647)
(90, 685)
(93, 723)
(97, 761)
(104, 799)
(105, 837)
(110, 875)
(120, 913)
(123, 951)
(129, 989)
(136, 1027)
(142, 1065)
(144, 1103)
(145, 1141)
(149, 1179)
(153, 1217)
(157, 1255)
(160, 1293)
(169, 1331)
Stopping samplig
(170, 1369)

*** Final SPOTPY summary ***
Total Duration: 10.22 seconds
Total Repetitions: 3000
Maximal objective value: -0.197309
Corresponding parameter setting:
x0: 1.95841
x1: 11.0973
x2: 51.9536
******************************

(171, 1407)
(173, 1445)
(176, 1483)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(183, 1521)
(186, 1559)
(191, 1597)
(195, 1635)
(206, 1673)
(209, 1711)
(214, 1749)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(224, 1787)
(227, 1825)
(231, 1863)
(232, 1901)
(247, 1939)
(247, 1977)
38 input vectors with 3 parameters
Generating 376 parameters:
(254, 2015)
(19, 39)
(256, 2053)
(46, 77)
(259, 2091)
(70, 115)
(266, 2129)
(271, 2167)
(90, 153)
(273, 2205)
(100, 191)
(283, 2243)
(118, 229)
(287, 2281)
(142, 267)
(290, 2319)
(294, 2357)
(160, 305)
(299, 2395)
(176, 343)
(305, 2433)
(194, 381)
(312, 2471)
(209, 419)
(322, 2509)
(231, 457)
(327, 2547)
(249, 495)
(332, 2585)
(339, 2623)
(274, 533)
(344, 2661)
(300, 571)
(352, 2699)
(318, 609)
(372, 2737)
(336, 647)
(380, 2775)
(352, 685)
(361, 723)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 10.31 seconds
Total Repetitions: 3000
Maximal objective value: -0.158375
Corresponding parameter setting:
x0: 1.57264
x1: 9.78051
x2: 48.722(380, 761)

******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 10.31 seconds
Total Repetitions: 3000
Maximal objective value: -0.176389
Corresponding parameter setting:
x0: 2.04439
x1: 10.4653
x2: 53.0022
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(17, 39)
(32, 77)
(64, 115)
(81, 153)
(100, 191)
(116, 229)
(136, 267)
(147, 305)
(165, 343)
(186, 381)
(202, 419)
(231, 457)
(240, 495)
(261, 533)
(290, 571)
(311, 609)
(326, 647)
(352, 685)
(378, 723)
38 input vectors with 3 parameters
Generating 376 parameters:
(24, 39)
(44, 77)
(72, 115)
(93, 153)
(117, 191)
(134, 229)
(159, 267)
(175, 305)
(206, 343)
(222, 381)
(247, 419)
(268, 457)
(278, 495)
(288, 533)
(310, 571)
(341, 609)
(355, 647)
(382, 685)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 10.9 seconds
Total Repetitions: 3000
Maximal objective value: -0.213414
Corresponding parameter setting:
x0: 0.380037
x1: 14.5793
x2: 49.8412
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(42, 77)
38 input vectors with 3 parameters
Generating 376 parameters:
(59, 115)
(77, 153)
(26, 39)
(97, 191)
(59, 77)
(111, 229)
(86, 115)
(123, 267)
(138, 305)
(111, 153)
(154, 343)
(133, 191)
(173, 381)
(159, 229)
(192, 419)
(183, 267)
(222, 457)
(211, 305)
(241, 495)
(246, 343)
(253, 533)
(274, 571)
(275, 381)
(296, 609)
(305, 419)
(316, 647)
(331, 457)
(335, 685)
(359, 495)
(364, 723)
(379, 533)
(388, 761)
38 input vectors with 3 parameters
Generating 376 parameters:
(22, 39)
(51, 77)
(69, 115)
(92, 153)
(111, 191)
(139, 229)
(160, 267)
(176, 305)
(199, 343)
(228, 381)
(253, 419)
(281, 457)
(303, 495)
(328, 533)
(353, 571)
(375, 609)
(405, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(9, 39)
(20, 77)
(34, 115)
(42, 153)
(55, 191)
(66, 229)
(85, 267)
(95, 305)
(105, 343)
(117, 381)
(128, 419)
(142, 457)
(156, 495)
(166, 533)
(182, 571)
(195, 609)
(211, 647)
769 of 3000, maximal objective function=-0.47639, time remaining: 00:00:06
1 Subset: Run 768 of 1500 (best like=-0.47639)
(222, 685)
(232, 723)
(251, 761)
(263, 799)
(280, 837)
(290, 875)
(303, 913)
(322, 951)
(337, 989)
(349, 1027)
(357, 1065)
(369, 1103)
(375, 1141)
(380, 1179)
38 input vectors with 3 parameters
Generating 376 parameters:
(13, 39)
(26, 77)
(33, 115)
(51, 153)
(68, 191)
(75, 229)
(86, 267)
(95, 305)
(107, 343)
(118, 381)
(153, 419)
(168, 457)
(176, 495)
(203, 533)
(215, 571)
(223, 609)
(228, 647)
(238, 685)
(249, 723)
(258, 761)
(274, 799)
(285, 837)
(295, 875)
(314, 913)
(324, 951)
(337, 989)
(355, 1027)
(370, 1065)
(382, 1103)
590 of 3000, maximal objective function=-0.382564, time remaining: 00:00:08
1 Subset: Run 589 of 1500 (best like=-0.382564)
2611 of 3000, maximal objective function=-0.356309, time remaining: 00:00:02
4 Subset: Run 359 of 376 (best like=-0.356309)
5 Subset: Run 233 of 376 (best like=-0.299454)
2864 of 3000, maximal objective function=-0.299454, time remaining: 00:00:01
2919 of 3000, maximal objective function=-0.301102, time remaining: 00:00:00
5 Subset: Run 291 of 376 (best like=-0.301102)
2046 of 3000, maximal objective function=-0.349101, time remaining: 00:00:06
3 Subset: Run 170 of 376 (best like=-0.349101)
2172 of 3000, maximal objective function=-0.360669, time remaining: 00:00:05
3 Subset: Run 296 of 376 (best like=-0.360669)
2110 of 3000, maximal objective function=-0.320399, time remaining: 00:00:05
3 Subset: Run 234 of 376 (best like=-0.320399)
1974 of 3000, maximal objective function=-0.396729, time remaining: 00:00:06
3 Subset: Run 98 of 376 (best like=-0.396729)
2062 of 3000, maximal objective function=-0.348656, time remaining: 00:00:05
3 Subset: Run 186 of 376 (best like=-0.348656)
2947 of 3000, maximal objective function=-0.223229, time remaining: 00:00:00
5 Subset: Run 319 of 376 (best like=-0.223229)
1023 of 3000, maximal objective function=-0.651683, time remaining: 00:00:04
1 Subset: Run 1022 of 1500 (best like=-0.651683)
38 input vectors with 3 parameters
Generating 376 parameters:
(27, 39)
(60, 77)
(79, 115)
(107, 153)
(130, 191)
(147, 229)
(174, 267)
(200, 305)
(228, 343)
(247, 381)
(263, 419)
(291, 457)
(321, 495)
(349, 533)
(372, 571)
(396, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(22, 77)
(32, 115)
(41, 153)
(54, 191)
(67, 229)
(72, 267)
1007 of 3000, maximal objective function=-0.319318, time remaining: 00:00:04
1 Subset: Run 1006 of 1500 (best like=-0.319318)
(82, 305)
(93, 343)
(100, 381)
(108, 419)
(121, 457)
(139, 495)
(147, 533)
(154, 571)
(163, 609)
(167, 647)
(176, 685)
(189, 723)
(194, 761)
(208, 799)
(219, 837)
(226, 875)
(232, 913)
(243, 951)
(248, 989)
(258, 1027)
(274, 1065)
(287, 1103)
(299, 1141)
(309, 1179)
(316, 1217)
(332, 1255)
(354, 1293)
(372, 1331)
(387, 1369)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 12.31 seconds
Total Repetitions: 3000
Maximal objective value: -0.223229
Corresponding parameter setting:
x0: 0.923654
x1: 5.69797
x2: 47.912
******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 12.37 seconds
Total Repetitions: 3000
Maximal objective value: -0.291775
Corresponding parameter setting:
x0: 0.777791
x1: 30.6848
x2: 52.5695
******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 12.45 seconds
Total Repetitions: 3000
Maximal objective value: -0.301102
Corresponding parameter setting:
x0: 0.972456
x1: 37.8708
x2: 51.8832
******************************

150 input vectors with 3 parameters
Generating 376 parameters:
(87, 151)
(188, 301)
(278, 451)
(395, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(23, 77)
(42, 115)
(54, 153)
(61, 191)
(76, 229)
(85, 267)
(97, 305)
(109, 343)
(127, 381)
(140, 419)
(150, 457)
(162, 495)
(171, 533)
(179, 571)
(195, 609)
(204, 647)
(220, 685)
(231, 723)
(244, 761)
(254, 799)
(268, 837)
(277, 875)
(284, 913)
(294, 951)
(317, 989)
(324, 1027)
(333, 1065)
(346, 1103)
(358, 1141)
(368, 1179)
(372, 1217)
(380, 1255)
150 input vectors with 3 parameters
Generating 376 parameters:
(95, 151)
(202, 301)
(291, 451)
(379, 601)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 12.93 seconds
Total Repetitions: 3000
Maximal objective value: -0.280731
Corresponding parameter setting:
x0: 1.7742
x1: 43.6168
x2: 53.1013
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(11, 39)
(19, 77)
(29, 115)
(41, 153)
(50, 191)
(59, 229)
(70, 267)
(85, 305)
(95, 343)
(108, 381)
(118, 419)
(129, 457)
(143, 495)
(155, 533)
150 input vectors with 3 parameters
Generating 376 parameters:
(171, 571)
(90, 151)
(178, 609)
(216, 301)
(186, 647)
(318, 451)
(198, 685)
(426, 601)
(218, 723)
(232, 761)
38 input vectors with 3 parameters
Generating 376 parameters:
(240, 799)
(21, 39)
(251, 837)
(49, 77)
(263, 875)
(271, 913)
(84, 115)
(283, 951)
(106, 153)
(297, 989)
(136, 191)
(307, 1027)
(316, 1065)
(157, 229)
(325, 1103)
(181, 267)
(337, 1141)
(205, 305)
(352, 1179)
(230, 343)
(364, 1217)
(380, 1255)
(251, 381)
(272, 419)
(298, 457)
(319, 495)
(344, 533)
(371, 571)
(399, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
(26, 77)
(34, 115)
(50, 153)
(74, 191)
(82, 229)
(98, 267)
(109, 305)
(113, 343)
(134, 381)
(158, 419)
(166, 457)
(175, 495)
(180, 533)
(194, 571)
(205, 609)
(221, 647)
(251, 685)
(266, 723)
(289, 761)
(301, 799)
(317, 837)
(326, 875)
(335, 913)
(343, 951)
(358, 989)
(368, 1027)
(382, 1065)
1968 of 3000, maximal objective function=-0.232556, time remaining: 00:00:02
3 Subset: Run 92 of 376 (best like=-0.232556)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(12, 77)
(22, 115)
(31, 153)
(40, 191)
(49, 229)
(54, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
(28, 39)
(43, 77)
(60, 305)
(64, 115)
(75, 153)
(66, 343)
(89, 191)
(105, 229)
(122, 267)
(70, 381)
(136, 305)
(155, 343)
(80, 419)
(168, 381)
(187, 419)
(205, 457)
(92, 457)
(226, 495)
(248, 533)
(102, 495)
(266, 571)
(284, 609)
(307, 647)
(110, 533)
(322, 685)
(335, 723)
(117, 571)
(352, 761)
(367, 799)
(380, 837)
(119, 609)
(127, 647)
(132, 685)
(136, 723)
(146, 761)
(155, 799)
(160, 837)
(169, 875)
(177, 913)
(185, 951)
(191, 989)
(193, 1027)
(202, 1065)
(211, 1103)
(217, 1141)
(225, 1179)
(236, 1217)
(244, 1255)
(247, 1293)
(253, 1331)
(259, 1369)
(267, 1407)
(271, 1445)
(284, 1483)
(295, 1521)
(307, 1559)
(320, 1597)
(328, 1635)
(337, 1673)
(344, 1711)
(355, 1749)
(363, 1787)
(370, 1825)
(379, 1863)
38 input vectors with 3 parameters
Generating 376 parameters:
(22, 39)
(40, 77)
(69, 115)
(91, 153)
(108, 191)
(130, 229)
(157, 267)
(175, 305)
(201, 343)
(227, 381)
(250, 419)
(270, 457)
(293, 495)
(313, 533)
(340, 571)
(359, 609)
(379, 647)
1323 of 3000, maximal objective function=-0.341896, time remaining: 00:00:05
1 Subset: Run 1322 of 1500 (best like=-0.341896)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(16, 77)
(30, 115)
(38, 153)
(48, 191)
(56, 229)
(62, 267)
(67, 305)
(76, 343)
(93, 381)
(100, 419)
(108, 457)
(114, 495)
(128, 533)
(135, 571)
(144, 609)
(154, 647)
(163, 685)
(175, 723)
(182, 761)
(193, 799)
(209, 837)
(219, 875)
(229, 913)
(236, 951)
(245, 989)
(271, 1027)
(285, 1065)
(294, 1103)
(306, 1141)
(316, 1179)
(325, 1217)
(337, 1255)
(350, 1293)
(364, 1331)
(386, 1369)
150 input vectors with 3 parameters
Generating 376 parameters:
(94, 151)
(194, 301)
(287, 451)
(365, 601)
(467, 751)
2419 of 3000, maximal objective function=-0.17638, time remaining: 00:00:03
4 Subset: Run 167 of 376 (best like=-0.17638)
2601 of 3000, maximal objective function=-0.360669, time remaining: 00:00:02
4 Subset: Run 349 of 376 (best like=-0.360669)
2494 of 3000, maximal objective function=-0.320399, time remaining: 00:00:03
4 Subset: Run 242 of 376 (best like=-0.320399)
2339 of 3000, maximal objective function=-0.358064, time remaining: 00:00:04
4 Subset: Run 87 of 376 (best like=-0.358064)
2443 of 3000, maximal objective function=-0.33371, time remaining: 00:00:03
4 Subset: Run 191 of 376 (best like=-0.33371)
2230 of 3000, maximal objective function=-0.284243, time remaining: 00:00:01
3 Subset: Run 354 of 376 (best like=-0.284243)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(24, 77)
(33, 115)
(37, 153)
(43, 191)
(51, 229)
(56, 267)
(66, 305)
(73, 343)
(86, 381)
(91, 419)
(97, 457)
(107, 495)
(114, 533)
(123, 571)
(129, 609)
(134, 647)
(138, 685)
(146, 723)
(156, 761)
(165, 799)
(173, 837)
(177, 875)
(185, 913)
(192, 951)
(194, 989)
(204, 1027)
(211, 1065)
(219, 1103)
(225, 1141)
(231, 1179)
(247, 1217)
(259, 1255)
(273, 1293)
(282, 1331)
(291, 1369)
(297, 1407)
(304, 1445)
(323, 1483)
(335, 1521)
(346, 1559)
(351, 1597)
(359, 1635)
(368, 1673)
(379, 1711)
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
(26, 77)
(33, 115)
(42, 153)
(53, 191)
(61, 229)
(68, 267)
(83, 305)
(99, 343)
(118, 381)
(128, 419)
(140, 457)
(160, 495)
(168, 533)
(181, 571)
(189, 609)
(196, 647)
(205, 685)
(216, 723)
(230, 761)
(239, 799)
(249, 837)
(256, 875)
(266, 913)
(274, 951)
(279, 989)
(291, 1027)
(298, 1065)
(306, 1103)
(321, 1141)
(328, 1179)
(334, 1217)
(348, 1255)
(359, 1293)
(376, 1331)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(16, 77)
(22, 115)
38 input vectors with 3 parameters
Generating 376 parameters:
(15, 39)
(32, 153)
(27, 77)
(35, 115)
(42, 191)
(46, 153)
(53, 191)
(68, 229)
(53, 229)
(79, 267)
(94, 305)
(102, 343)
(68, 267)
(115, 381)
(125, 419)
(71, 305)
(140, 457)
(152, 495)
(165, 533)
(82, 343)
(177, 571)
(193, 609)
(102, 381)
(206, 647)
(216, 685)
(112, 419)
(223, 723)
(239, 761)
(255, 799)
(122, 457)
(265, 837)
(273, 875)
(284, 913)
(135, 495)
(301, 951)
(318, 989)
(145, 533)
(326, 1027)
(343, 1065)
(361, 1103)
(160, 571)
(373, 1141)
(383, 1179)
(172, 609)
2252 of 3000, maximal objective function=-0.319318, time remaining: 00:00:01
4 Subset: Run 0 of 376 (best like=-0.319318)
(180, 647)
(191, 685)
(203, 723)
(213, 761)
(225, 799)
(247, 837)
(260, 875)
(269, 913)
(284, 951)
(296, 989)
(308, 1027)
(318, 1065)
(328, 1103)
(341, 1141)
(357, 1179)
(373, 1217)
(384, 1255)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(10, 77)
(12, 115)
(16, 153)
(18, 191)
(22, 229)
(26, 267)
(27, 305)
(29, 343)
(36, 381)
(39, 419)
(47, 457)
(49, 495)
(56, 533)
(60, 571)
(62, 609)
(68, 647)
(75, 685)
(77, 723)
(84, 761)
(86, 799)
(88, 837)
(90, 875)
(94, 913)
(94, 951)
(98, 989)
(101, 1027)
(106, 1065)
(112, 1103)
(123, 1141)
(129, 1179)
(139, 1217)
(142, 1255)
(147, 1293)
(150, 1331)
(155, 1369)
(155, 1407)
(159, 1445)
(166, 1483)
(169, 1521)
(173, 1559)
(176, 1597)
(179, 1635)
(180, 1673)
(182, 1711)
(184, 1749)
(186, 1787)
(190, 1825)
(195, 1863)
(201, 1901)
(206, 1939)
(210, 1977)
(216, 2015)
(222, 2053)
(228, 2091)
(235, 2129)
(239, 2167)
(242, 2205)
(245, 2243)
(249, 2281)
(250, 2319)
(252, 2357)
(255, 2395)
(261, 2433)
(263, 2471)
(267, 2509)
(268, 2547)
(272, 2585)
(274, 2623)
(278, 2661)
(281, 2699)
(291, 2737)
(298, 2775)
(301, 2813)
(307, 2851)
(309, 2889)
(316, 2927)
(321, 2965)
(324, 3003)
(327, 3041)
(332, 3079)
(340, 3117)
(343, 3155)
(345, 3193)
(349, 3231)
(350, 3269)
(354, 3307)
(359, 3345)
(368, 3383)
(372, 3421)
(384, 3459)
38 input vectors with 3 parameters
Generating 376 parameters:
(19, 39)
(35, 77)
(51, 115)
(68, 153)
(79, 191)
(96, 229)
(111, 267)
(123, 305)
(148, 343)
(165, 381)
(174, 419)
(192, 457)
(207, 495)
(219, 533)
(235, 571)
(255, 609)
(268, 647)
(285, 685)
(307, 723)
(324, 761)
(338, 799)
(346, 837)
(359, 875)
(376, 913)
38 input vectors with 3 parameters
Generating 376 parameters:
(9, 39)
(39, 77)
(53, 115)
(74, 153)
(86, 191)
(103, 229)
(114, 267)
(127, 305)
(134, 343)
(148, 381)
(161, 419)
(189, 457)
(205, 495)
(221, 533)
(231, 571)
(256, 609)
(271, 647)
(283, 685)
(300, 723)
(312, 761)
(318, 799)
(337, 837)
(351, 875)
(372, 913)
(392, 951)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(12, 77)
(20, 115)
(24, 153)
(32, 191)
(41, 229)
(52, 267)
(64, 305)
(69, 343)
(76, 381)
(81, 419)
(88, 457)
(96, 495)
(105, 533)
(119, 571)
(130, 609)
(135, 647)
(137, 685)
(143, 723)
(150, 761)
(160, 799)
(169, 837)
(175, 875)
38 input vectors with 3 parameters
Generating 376 parameters:
(6, 39)(177, 913)

(10, 77)
(18, 115)
(183, 951)
(21, 153)
(32, 191)
(38, 229)
(187, 989)
(40, 267)
(41, 305)
(45, 343)
(195, 1027)
(48, 381)
(50, 419)
(57, 457)
(198, 1065)
(62, 495)
(64, 533)
(202, 1103)
(73, 571)
(79, 609)
(83, 647)
(210, 1141)
(89, 685)
(96, 723)
(100, 761)
(220, 1179)
(103, 799)
(106, 837)
(108, 875)
(112, 913)
(232, 1217)
(120, 951)
(121, 989)
(126, 1027)
(244, 1255)
(137, 1065)
(140, 1103)
(246, 1293)
(145, 1141)
(151, 1179)
(157, 1217)
(258, 1331)
(161, 1255)
(162, 1293)
(166, 1331)
(171, 1369)
(266, 1369)
(176, 1407)
(182, 1445)
(186, 1483)
(274, 1407)
(191, 1521)
(196, 1559)
(199, 1597)
(279, 1445)
(199, 1635)
(205, 1673)
(211, 1711)
(286, 1483)
(215, 1749)
(221, 1787)
(225, 1825)
(293, 1521)
(226, 1863)
(232, 1901)
(237, 1939)
(299, 1559)
(243, 1977)
(249, 2015)
(251, 2053)
(303, 1597)
(255, 2091)
(259, 2129)
(261, 2167)
(313, 1635)
(265, 2205)
(272, 2243)
(275, 2281)
(324, 1673)
(279, 2319)
(287, 2357)
(290, 2395)
(294, 2433)
(329, 1711)
(298, 2471)
(306, 2509)
(313, 2547)
(334, 1749)
(315, 2585)
(318, 2623)
(321, 2661)
(340, 1787)
(328, 2699)
(331, 2737)
(336, 2775)
(346, 1825)
(346, 2813)
(348, 2851)
(352, 2889)
(354, 1863)
(364, 2927)
(371, 2965)
(364, 1901)
(376, 3003)
38 input vectors with 3 parameters
Generating 376 parameters:
(5, 39)
(11, 77)
(371, 1939)
(14, 115)
(23, 153)
(27, 191)
(374, 1977)
(33, 229)
(40, 267)
(46, 305)
(380, 2015)
(50, 343)
(64, 381)
(72, 419)
(79, 457)
(84, 495)
(88, 533)
(90, 571)
(94, 609)
(100, 647)
(104, 685)
(109, 723)
(113, 761)
(118, 799)
(123, 837)
(126, 875)
(129, 913)
(132, 951)
(136, 989)
(139, 1027)
(144, 1065)
(150, 1103)
(153, 1141)
(156, 1179)
(160, 1217)
(170, 1255)
(179, 1293)
(182, 1331)
(185, 1369)
(188, 1407)
(193, 1445)
(196, 1483)
(202, 1521)
(205, 1559)
(211, 1597)
(213, 1635)
(214, 1673)
(221, 1711)
(227, 1749)
(232, 1787)
(239, 1825)
(246, 1863)
(255, 1901)
(258, 1939)
(262, 1977)
(265, 2015)
(269, 2053)
(279, 2091)
(282, 2129)
(290, 2167)
(295, 2205)
(297, 2243)
(304, 2281)
(309, 2319)
(313, 2357)
(318, 2395)
(322, 2433)
(327, 2471)
(337, 2509)
(341, 2547)
(343, 2585)
(346, 2623)
38 input vectors with 3 parameters
Generating 376 parameters:
(350, 2661)
(9, 39)
(356, 2699)
(14, 77)
(361, 2737)
(16, 115)
(365, 2775)
(24, 153)
(372, 2813)
(30, 191)
(373, 2851)
(34, 229)
(379, 2889)
(36, 267)
(39, 305)
(48, 343)
(53, 381)
(65, 419)
(69, 457)
(77, 495)
(82, 533)
(92, 571)
(105, 609)
(115, 647)
(120, 685)
(125, 723)
(130, 761)
(138, 799)
(143, 837)
(144, 875)
(150, 913)
(154, 951)
(162, 989)
(173, 1027)
(183, 1065)
(191, 1103)
(203, 1141)
(210, 1179)
(217, 1217)
(220, 1255)
(230, 1293)
(235, 1331)
(238, 1369)
(248, 1407)
(253, 1445)
(262, 1483)
(269, 1521)
(278, 1559)
(287, 1597)
(294, 1635)
(297, 1673)
(302, 1711)
(307, 1749)
(312, 1787)
(325, 1825)
(331, 1863)
(339, 1901)
(344, 1939)
(348, 1977)
(355, 2015)
(367, 2053)
(371, 2091)
(380, 2129)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(24, 77)
(30, 115)
(32, 153)
(38, 191)
(43, 229)
(47, 267)
(54, 305)
(58, 343)
(62, 381)
(72, 419)
(80, 457)
(87, 495)
(96, 533)
(101, 571)
(107, 609)
(114, 647)
(120, 685)
(128, 723)
(136, 761)
(145, 799)
(152, 837)
(163, 875)
(166, 913)
(177, 951)
(183, 989)
(193, 1027)
(201, 1065)
(206, 1103)
(212, 1141)
(219, 1179)
(226, 1217)
(240, 1255)
(244, 1293)
38 input vectors with 3 parameters
Generating 376 parameters:
(251, 1331)
(257, 1369)
(24, 39)
(266, 1407)
(44, 77)
Stopping samplig
(276, 1445)

*** Final SPOTPY summary ***
Total Duration: 5.73 seconds
Total Repetitions: 3000
Maximal objective value: -0.171979
Corresponding parameter setting:
x0: 2.04382
x1: 10.8784
x2: 51.3297
******************************

(73, 115)
(283, 1483)
(291, 1521)
(97, 153)
(296, 1559)
(308, 1597)
(316, 1635)
(117, 191)
(327, 1673)
(334, 1711)
(339, 1749)
(145, 229)
(355, 1787)
(366, 1825)
(372, 1863)
(165, 267)
(380, 1901)
(192, 305)
(220, 343)
(246, 381)
(265, 419)
(297, 457)
(321, 495)
(341, 533)
(365, 571)
(390, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(12, 39)
(23, 77)
(30, 115)
(39, 153)
(45, 191)
(57, 229)
(62, 267)
(73, 305)
(82, 343)
(92, 381)
(99, 419)
(108, 457)
(114, 495)
(128, 533)
(138, 571)
(141, 609)
(152, 647)
(163, 685)
(182, 723)
(190, 761)
(195, 799)
(207, 837)
(219, 875)
(230, 913)
(234, 951)
(243, 989)
(247, 1027)
(256, 1065)
(264, 1103)
(272, 1141)
(282, 1179)
(291, 1217)
(297, 1255)
(304, 1293)
(319, 1331)
(327, 1369)
(331, 1407)
(338, 1445)
(341, 1483)
(347, 1521)
(352, 1559)
(359, 1597)
(368, 1635)
(381, 1673)
38 input vectors with 3 parameters
Generating 376 parameters:
(9, 39)
(19, 77)
(26, 115)
(34, 153)
(35, 191)
(40, 229)
(44, 267)
(47, 305)
(53, 343)
(57, 381)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.4 seconds
Total Repetitions: 3000
Maximal objective value: -0.173786
Corresponding parameter setting:
x0: 1.59333
x1: 8.48752
x2: 46.2141
******************************

(59, 419)
(62, 457)
(66, 495)
(68, 533)
(70, 571)
(74, 609)
(79, 647)
(84, 685)
(84, 723)
(87, 761)
(90, 799)
(93, 837)
(94, 875)
(99, 913)
(106, 951)
(108, 989)
(111, 1027)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 5.24 seconds
Total Repetitions: 3000
Maximal objective value: -0.204315
Corresponding parameter setting:
x0: 2.74723
x1: 12.0713
x2: 59.4586
******************************

(116, 1065)
(118, 1103)
(119, 1141)
(125, 1179)
(132, 1217)
(136, 1255)
(141, 1293)
(146, 1331)
(150, 1369)
(154, 1407)
(155, 1445)
(159, 1483)
(167, 1521)
(171, 1559)
(175, 1597)
(178, 1635)
(184, 1673)
(191, 1711)
(196, 1749)
(199, 1787)
(204, 1825)
(209, 1863)
(212, 1901)
(219, 1939)
(226, 1977)
(230, 2015)
(232, 2053)
(239, 2091)
(244, 2129)
(250, 2167)
(252, 2205)
(261, 2243)
(263, 2281)
(265, 2319)
(272, 2357)
(276, 2395)
(278, 2433)
(280, 2471)
(283, 2509)
(290, 2547)
(292, 2585)
(295, 2623)
(302, 2661)
(312, 2699)
(315, 2737)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 15.6 seconds
Total Repetitions: 3000
Maximal objective value: -0.273109
Corresponding parameter setting:
x0: 0.94757
x1: 12.1244
x2: 51.3678
******************************

(320, 2775)
(323, 2813)
(339, 2851)
(346, 2889)
(353, 2927)
(357, 2965)
(361, 3003)
(371, 3041)
(378, 3079)
2550 of 3000, maximal objective function=-0.209364, time remaining: 00:00:01
4 Subset: Run 298 of 376 (best like=-0.209364)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 15.69 seconds
Total Repetitions: 3000
Maximal objective value: -0.221522
Corresponding parameter setting:
x0: 0.493513
x1: 12.8442
x2: 49.8664
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(3, 39)
(5, 77)
(13, 115)
(17, 153)
(20, 191)
(22, 229)
(26, 267)
(36, 305)
(39, 343)
(41, 381)
(45, 419)
(48, 457)
(51, 495)
(58, 533)
(61, 571)
(62, 609)
(63, 647)
(64, 685)
(72, 723)
(76, 761)
(78, 799)
(82, 837)
(90, 875)
(94, 913)
(95, 951)
(101, 989)
(112, 1027)
(114, 1065)
(119, 1103)
(129, 1141)
(136, 1179)
(138, 1217)
(140, 1255)
(143, 1293)
(149, 1331)
(150, 1369)
(154, 1407)
(159, 1445)
(163, 1483)
(164, 1521)
(169, 1559)
(172, 1597)
(175, 1635)
(178, 1673)
(183, 1711)
(188, 1749)
(191, 1787)
(196, 1825)
(199, 1863)
(205, 1901)
(206, 1939)
(214, 1977)
(220, 2015)
(223, 2053)
(227, 2091)
(230, 2129)
(232, 2167)
(241, 2205)
(248, 2243)
(250, 2281)
(253, 2319)
(258, 2357)
(265, 2395)
(271, 2433)
(273, 2471)
(280, 2509)
(283, 2547)
(288, 2585)
(293, 2623)
(297, 2661)
(301, 2699)
(308, 2737)
(311, 2775)
(316, 2813)
(323, 2851)
(326, 2889)
(331, 2927)
(334, 2965)
(337, 3003)
(343, 3041)
(346, 3079)
(359, 3117)
(365, 3155)
(369, 3193)
(373, 3231)
(377, 3269)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 15.91 seconds
Total Repetitions: 3000
Maximal objective value: -0.256759
Corresponding parameter setting:
x0: 0.883911
x1: 15.826
x2: 52.3526
******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 15.94 seconds
Total Repetitions: 3000
Maximal objective value: -0.17638
Corresponding parameter setting:
x0: 0.194117
x1: 30.2974
x2: 50.333
******************************

2897 of 3000, maximal objective function=-0.23604, time remaining: 00:00:01
5 Subset: Run 269 of 376 (best like=-0.23604)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 16.15 seconds
Total Repetitions: 3000
Maximal objective value: -0.23604
Corresponding parameter setting:
x0: 1.2139
x1: 12.286
x2: 52.1456
******************************

100%|████████████████████████████████████████| 20/20 [00:00<00:00, 18534.26it/s]
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 6.64 seconds
Total Repetitions: 3000
Maximal objective value: -0.176069
Corresponding parameter setting:
x0: 1.63391
x1: 8.48266
x2: 47.1984
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']

150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(120, 151)
(103, 151)
150 input vectors with 3 parameters
Generating 376 parameters:
(223, 301)
(215, 301)
(109, 151)
(333, 451)
(338, 451)
(221, 301)
(446, 601)
(339, 451)
(459, 601)
(442, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
(83, 151)
150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(181, 301)
(115, 151)
(76, 151)
(280, 451)
(195, 301)
(167, 301)
(370, 601)
(271, 451)
(244, 451)
(446, 751)
(363, 601)
(341, 601)
(419, 751)
(458, 751)
150 input vectors with 3 parameters
Generating 376 parameters:
(107, 151)
(186, 301)
38 input vectors with 3 parameters
Generating 376 parameters:
(26, 39)
(283, 451)
38 input vectors with 3 parameters
Generating 376 parameters:
(56, 77)
(30, 39)
(81, 115)
(370, 601)
(51, 77)
(105, 153)
(77, 115)
(133, 191)
(107, 153)
(153, 229)
(443, 751)
(135, 191)
(179, 267)
(156, 229)
(204, 305)
(177, 267)
(230, 343)
(201, 305)
(258, 381)
(223, 343)
(282, 419)
(249, 381)
(314, 457)
(270, 419)
38 input vectors with 3 parameters
Generating 376 parameters:
(336, 495)
(293, 457)
(28, 39)
(366, 533)
(316, 495)
(57, 77)
(395, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(346, 533)
(81, 115)
(19, 39)
(379, 571)
(105, 153)
(28, 77)
(132, 191)
(41, 115)
38 input vectors with 3 parameters(160, 229)

Generating 376 parameters:
(60, 153)
38 input vectors with 3 parameters
Generating 376 parameters:
(188, 267)
(70, 191)(17, 39)

(25, 39)
(211, 305)
(90, 229)(40, 77)

(39, 77)
(233, 343)
(108, 267)
(62, 115)
(57, 115)
(117, 305)
(70, 153)
(268, 381)
(70, 153)
(133, 343)
(87, 191)
(299, 419)
(89, 191)
(151, 381)
(102, 229)
(334, 457)
(103, 229)
(164, 419)
(116, 267)
150 input vectors with 3 parameters
(363, 495)
Generating 376 parameters:
(130, 267)
(192, 457)
(136, 305)
150 input vectors with 3 parameters
Generating 376 parameters:
(393, 533)
(150, 305)
(207, 495)
(159, 343)
(174, 343)
(219, 533)
(189, 381)150 input vectors with 3 parameters
Generating 376 parameters:

(193, 381)
150 input vectors with 3 parameters
Generating 376 parameters:
(240, 571)
(98, 151)
(208, 419)
(209, 419)
(253, 609)
(110, 151)
(226, 457)
(225, 457)
(267, 647)
(126, 151)
(240, 495)(243, 495)

(280, 685)
(256, 533)
(253, 533)
(86, 151)
(203, 301)
(289, 723)
(278, 571)
(271, 571)
(306, 761)
(223, 301)
(290, 609)
(238, 301)
150 input vectors with 3 parameters
Generating 376 parameters:
(297, 609)
(318, 799)
(309, 647)
(311, 647)
(336, 837)
(325, 685)
(190, 301)
(312, 451)
(330, 685)
(346, 875)
(344, 723)
(349, 451)
(347, 723)
(334, 451)(367, 913)

(358, 761)
(115, 151)
150 input vectors with 3 parameters
Generating 376 parameters:
(363, 761)
(379, 951)
(378, 799)
(377, 799)
(385, 601)
(299, 451)
(444, 601)
(442, 601)
(212, 301)
(102, 151)
(397, 601)
(203, 301)
(315, 451)
150 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(297, 451)
(423, 601)
(16, 39)
(32, 77)
(124, 151)
(49, 115)
(394, 601)
(82, 153)
(97, 191)
(223, 301)
(124, 229)
38 input vectors with 3 parameters
Generating 376 parameters:
(146, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
(334, 451)
(28, 39)
(164, 305)
(174, 343)(33, 39)

(60, 77)
(187, 381)
(79, 115)(60, 77)

(208, 419)
(81, 115)(98, 153)

(455, 601)
(227, 457)
(130, 191)
(109, 153)
(244, 495)
(157, 229)
(137, 191)
(263, 533)
(177, 267)
(169, 229)
(282, 571)
(199, 305)
(186, 267)
(297, 609)
150 input vectors with 3 parameters
Generating 376 parameters:
(221, 343)
(207, 305)
(312, 647)
(239, 381)
(229, 343)
(324, 685)
(263, 419)
38 input vectors with 3 parameters
Generating 376 parameters:
(255, 381)
(345, 723)
(286, 457)
(21, 39)
(285, 419)
(360, 761)
(306, 495)
(40, 77)
(127, 151)
(313, 457)
(386, 799)(326, 533)

(56, 115)
(335, 495)
(350, 571)
(79, 153)
(356, 533)
(375, 609)
(99, 191)
(375, 571)
(223, 301)
(404, 647)
(404, 609)(129, 229)

(152, 267)
(174, 305)
(192, 343)
(330, 451)
(206, 381)
(225, 419)
150 input vectors with 3 parameters
Generating 376 parameters:
(240, 457)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(266, 495)
38 input vectors with 3 parameters
Generating 376 parameters:
(31, 39)
(11, 39)
(436, 601)
(283, 533)
(12, 39)
(54, 77)
(22, 77)
(305, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(24, 77)(34, 115)

(113, 151)
(78, 115)
(17, 39)
(338, 609)
(37, 115)(50, 153)

(111, 153)
(25, 77)
(363, 647)(60, 191)

(43, 153)
(122, 191)
(36, 115)
(64, 229)
(382, 685)
(51, 191)
(146, 229)
(43, 153)
(77, 267)
(69, 229)
(52, 191)
(165, 267)
(240, 301)
(93, 305)
(82, 267)
(69, 229)
(201, 305)
(108, 343)
(94, 305)
(80, 267)
(117, 381)
(223, 343)
(103, 343)
(91, 305)
(127, 419)
(242, 381)
(113, 381)
(106, 343)
(138, 457)
(258, 419)
(123, 419)
(118, 381)
(158, 495)
(280, 457)
(124, 419)
(132, 457)
(167, 533)
(322, 451)
(301, 495)
(136, 457)
(139, 495)
(140, 495)(147, 533)

(328, 533)
(186, 571)
(157, 571)(153, 533)

(195, 609)
(357, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(169, 609)
(163, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(372, 609)
(214, 647)
(181, 647)
(181, 609)
(393, 647)
(24, 39)
(32, 39)
(192, 685)
(191, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(223, 685)
(439, 601)
(203, 685)
(205, 723)
(51, 77)
(46, 77)
(235, 723)
(26, 39)
(215, 761)
(215, 723)
(244, 761)
(70, 115)
(80, 115)
(230, 799)
(237, 761)
(45, 77)
(250, 799)
(249, 799)
(239, 837)
(97, 153)
(98, 153)
(264, 837)
(60, 115)
(245, 875)
(264, 837)
(119, 191)(279, 875)

(121, 191)
(254, 913)
(276, 875)
(73, 153)
(292, 913)
(267, 951)(282, 913)

(142, 229)
(148, 229)
(100, 191)
(293, 951)(275, 989)

(301, 951)
(164, 267)(285, 1027)
(304, 989)

(311, 989)
(175, 267)(120, 229)

(317, 1027)
(306, 1065)
(320, 1027)
38 input vectors with 3 parameters
Generating 376 parameters:
(198, 305)
(137, 267)
(205, 305)(315, 1103)

(336, 1065)
(332, 1065)
38 input vectors with 3 parameters
Generating 376 parameters:
(323, 1141)
(361, 1103)
(28, 39)
(227, 343)
(162, 305)
(343, 1103)
(233, 343)
(329, 1179)
(369, 1141)
(14, 39)
(354, 1141)
(254, 381)
(343, 1217)
(52, 77)
(182, 343)
(380, 1179)
(260, 381)
(364, 1179)
(357, 1255)
(42, 77)
(272, 419)(201, 381)

(78, 115)
(372, 1217)
(371, 1293)
(282, 419)
(56, 115)
(218, 419)
(379, 1331)
(381, 1255)
(303, 457)
(107, 153)
38 input vectors with 3 parameters(306, 457)

Generating 376 parameters:
(74, 153)
(233, 457)
38 input vectors with 3 parameters
Generating 376 parameters:(332, 495)

(136, 191)
(329, 495)
(101, 191)(251, 495)

(27, 39)
(9, 39)
(360, 533)
(156, 229)
(58, 77)
(354, 533)
(32, 77)
(267, 533)
(113, 229)
(389, 571)
(82, 115)
(49, 115)
(188, 267)
(289, 571)
(127, 267)
(385, 571)
(106, 153)
38 input vectors with 3 parameters
Generating 376 parameters:
(65, 153)
38 input vectors with 3 parameters
Generating 376 parameters:
(212, 305)
(304, 609)
(126, 191)
(151, 305)
(77, 191)
(18, 39)(21, 39)

(143, 229)
(89, 229)
(243, 343)
(331, 647)
(49, 77)
(156, 267)
(98, 267)
(36, 77)
(179, 343)
(72, 115)
(359, 685)(271, 381)

(184, 305)(107, 305)

(49, 115)
(118, 343)(92, 153)

(193, 381)
(204, 343)
(378, 723)
(301, 419)
(118, 191)
(60, 153)
(230, 381)
(143, 381)
(208, 419)
(149, 229)
(322, 457)
(252, 419)
(153, 419)
(75, 191)
(157, 457)
(182, 267)
(355, 495)
(275, 457)
(224, 457)
(94, 229)
(208, 305)
(297, 495)
(381, 533)
(232, 343)
(167, 495)
(108, 267)
(316, 533)
(245, 495)
(169, 533)
(260, 381)
(334, 571)
(132, 305)
(178, 571)
(267, 533)
(286, 419)
(356, 609)
(169, 343)
(371, 647)
(189, 609)
(317, 457)
(283, 571)
(196, 647)
(401, 685)
(341, 495)
(194, 381)
(206, 685)
(365, 533)
(226, 419)
(214, 723)
(300, 609)
(392, 571)
(221, 761)
(241, 457)
(319, 647)
(234, 799)
(261, 495)
38 input vectors with 3 parameters
Generating 376 parameters:
(334, 685)
(242, 837)
(10, 39)
(279, 533)
(19, 77)(260, 875)

(300, 571)
(27, 115)
(269, 913)
(360, 723)
(34, 153)
(317, 609)
(274, 951)
(46, 191)
(386, 761)
(295, 989)38 input vectors with 3 parameters
Generating 376 parameters:

(338, 647)(58, 229)

(306, 1027)
(74, 267)
(24, 39)
(353, 685)
(80, 305)
(320, 1065)
(45, 77)
(371, 723)
(328, 1103)
(94, 343)
(102, 381)
(390, 761)
(335, 1141)
(61, 115)
(109, 419)
(339, 1179)
(76, 153)
(119, 457)
38 input vectors with 3 parameters
Generating 376 parameters:
(363, 1217)
(132, 495)
(144, 533)
(377, 1255)
(15, 39)
(158, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(171, 609)
(45, 77)
(11, 39)
(185, 647)
(89, 191)
(25, 77)
(197, 685)
(65, 115)
(101, 229)
(33, 115)
38 input vectors with 3 parameters
Generating 376 parameters:
(206, 723)
(39, 153)
(93, 153)(14, 39)

(215, 761)
(47, 191)
(229, 799)
(33, 77)
38 input vectors with 3 parameters
Generating 376 parameters:
(116, 191)
(57, 229)
(126, 267)
(48, 115)
(249, 837)
(66, 267)
(4, 39)
(254, 875)
(59, 153)
(136, 229)(143, 305)

(74, 305)(9, 77)

(261, 913)
(149, 343)
(73, 191)
(78, 343)
(17, 115)
(154, 267)
(272, 951)
(161, 381)
(85, 229)
(82, 381)
(24, 153)
(292, 989)
(93, 267)
(92, 419)
(31, 191)
(182, 419)
(180, 305)
(302, 1027)
(108, 305)(43, 229)

(104, 457)
(199, 457)
(317, 1065)
(114, 343)(50, 267)

(208, 343)
(109, 495)
(219, 495)
(321, 1103)
(54, 305)
(129, 381)
(117, 533)
(231, 533)
(227, 381)
(332, 1141)
(58, 343)
(142, 419)
(124, 571)
(247, 571)
(64, 381)
(343, 1179)
(248, 419)
(133, 609)(152, 457)

(264, 609)
(72, 419)(352, 1217)

(141, 647)
(165, 495)
(285, 647)
(75, 457)
(271, 457)
(365, 1255)
(146, 685)
(188, 533)(80, 495)

(373, 1293)
(299, 685)
(151, 723)
(294, 495)
(199, 571)
(316, 723)
(386, 1331)
(159, 761)
(88, 533)
(207, 609)
(165, 799)
(95, 571)
(314, 533)
(220, 647)
(327, 761)
(171, 837)(99, 609)

(231, 685)
(327, 571)
(106, 647)
(177, 875)
(357, 799)
(242, 723)
(115, 685)
(191, 913)
(346, 609)
(380, 837)
(255, 761)
(118, 723)
(197, 951)
Stopping samplig
(271, 799)
(127, 761)

*** Final SPOTPY summary ***
Total Duration: 0.95 seconds(375, 647)
Total Repetitions: 3000
Maximal objective value: -1.13246
Corresponding parameter setting:
x0: 0.333399
x1: 27.6261
x2: 43.1567
******************************


(203, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(290, 837)
Stopping samplig
(207, 1027)
(150, 799)

*** Final SPOTPY summary ***(403, 685)
Total Duration: 0.95 seconds
Total Repetitions: 3000
Maximal objective value: -1.09724
Corresponding parameter setting:
x0: 2.52144
x1: 46.0301
x2: 36.6792
******************************


(20, 39)(216, 1065)

(298, 875)(156, 837)

38 input vectors with 3 parameters
38 input vectors with 3 parameters
Generating 376 parameters:
Generating 376 parameters:
(161, 875)
(220, 1103)
(308, 913)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(41, 77)
(226, 1141)
(167, 913)
Starting the ROPE algotrithm with 3000 repetitions...(321, 951)

Initializing the  RObust Parameter Estimation (ROPE) algorithm(24, 39)  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.

(20, 39)
(172, 951)
(245, 1179)
(57, 115)
(333, 989)
(178, 989)
(41, 77)
(31, 77)
(258, 1217)
(357, 1027)
(180, 1027)
(82, 153)
(264, 1255)
(365, 1065)
(66, 115)
(189, 1065)
(267, 1293)
(99, 191)
(371, 1103)(59, 115)

(196, 1103)
(272, 1331)
Initialize database...
(90, 153)
38 input vectors with 3 parameters
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Generating 376 parameters:
(201, 1141)(387, 1141)

(121, 229)
(283, 1369)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(81, 153)
(206, 1179)
(113, 191)
(18, 39)
(289, 1407)
(138, 267)(210, 1217)

(302, 1445)
(103, 191)(215, 1255)

(143, 229)
(39, 77)
(152, 305)
(304, 1483)
(224, 1293)
(119, 229)(51, 115)
(164, 267)
(310, 1521)
(235, 1331)(174, 343)


38 input vectors with 3 parameters
Generating 376 parameters:
(314, 1559)
(245, 1369)
(66, 153)
(192, 305)
(189, 381)
(135, 267)
(325, 1597)
(254, 1407)
(33, 39)
(80, 191)
(332, 1635)
(210, 343)
(256, 1445)
(217, 419)
(157, 305)
(338, 1673)
(56, 77)
(263, 1483)
(96, 229)
(231, 381)
(230, 457)
(345, 1711)(274, 1521)

(185, 343)
(81, 115)
(115, 267)
(254, 419)
(250, 495)
(351, 1749)
(288, 1559)
(293, 1597)
(366, 1787)
(206, 381)
(105, 153)(127, 305)

(272, 457)
(273, 533)
(298, 1635)
(373, 1825)
38 input vectors with 3 parameters
Generating 376 parameters:
(146, 343)
(229, 419)
(303, 1673)(129, 191)

(294, 495)(382, 1863)

(295, 571)
(11, 39)
(310, 1711)
(158, 381)
(250, 457)
(17, 77)
(154, 229)
(317, 609)
(321, 1749)
(323, 533)
(20, 115)
(177, 419)
(329, 1787)
(284, 495)
(181, 267)
(23, 153)(335, 571)

(344, 647)
(336, 1825)
(30, 191)
(195, 457)
(338, 1863)
(314, 533)
(360, 685)(356, 609)
(209, 305)

(36, 229)
(341, 1901)
(217, 495)
(39, 267)
(329, 571)
(382, 723)
(382, 647)(230, 343)

(348, 1939)
(43, 305)
(233, 533)
(356, 1977)
(257, 381)
(356, 609)
(47, 343)
(361, 2015)
(254, 571)
(54, 381)
(370, 2053)
(376, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(291, 419)
(60, 419)
(375, 2091)
(270, 609)
(64, 457)
(382, 2129)
(20, 39)
(319, 457)
(70, 495)
(287, 647)
(38, 77)(75, 533)

38 input vectors with 3 parameters
Generating 376 parameters:
(343, 495)
(304, 685)
(84, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(57, 115)
(19, 39)
(364, 533)
(89, 609)
(321, 723)
(90, 647)
(12, 39)
(78, 153)
(30, 77)
(382, 571)
(331, 761)
(100, 685)
(98, 191)(28, 77)

(41, 115)
(102, 723)
(349, 799)
(109, 761)
(50, 153)
(117, 229)
(55, 115)
(363, 837)
(119, 799)
(60, 191)
(129, 267)
(64, 153)
(125, 837)
Stopping samplig
(380, 875)

*** Final SPOTPY summary ***
(133, 875)Total Duration: 1.06 seconds
Total Repetitions: 3000
Maximal objective value: -0.833528
Corresponding parameter setting:
x0: 2.80383
x1: 48.2426
x2: 35.5431
******************************


(73, 229)
(80, 191)
(159, 305)
(139, 913)
(84, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
Starting the ROPE algotrithm with 3000 repetitions...(101, 229)(146, 951)


Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000 (184, 343)
 repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(90, 305)
(160, 989)
(9, 39)
(117, 267)
(201, 381)
(168, 1027)
(100, 343)
(16, 77)
(172, 1065)
(128, 305)
(227, 419)
(22, 115)
(118, 381)
(176, 1103)
(23, 153)
(241, 457)
(150, 343)
(178, 1141)
(129, 419)
(32, 191)
(184, 1179)
(166, 381)
(266, 495)
(144, 457)
Initialize database...
(39, 229)
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(191, 1217)
(181, 419)
(45, 267)
(289, 533)
(198, 1255)
(153, 495)
(50, 305)
(201, 1293)
(193, 457)
(163, 533)
(310, 571)
(55, 343)
Stopping samplig
(209, 1331)
(208, 495)

*** Final SPOTPY summary ***
Total Duration: 1.06 seconds
Total Repetitions: 3000
Maximal objective value: -0.523118
Corresponding parameter setting:
x0: 0.892004
x1: 9.09855
x2: 38.3589(177, 571)
******************************


(330, 609)(58, 381)

(215, 1369)
(63, 419)
(219, 1407)
(186, 609)
(225, 533)
(351, 647)
(225, 1445)
(71, 457)Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.

(203, 647)
(247, 571)
(230, 1483)
(370, 685)
(81, 495)
(237, 1521)
(218, 685)
(269, 609)
(86, 533)
(244, 1559)
(398, 723)
(87, 571)
(229, 723)
(254, 1597)
(284, 647)
(102, 609)
(259, 1635)
(234, 761)
(264, 1673)
(115, 647)
(309, 685)
Initialize database...(242, 799)

['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(270, 1711)
(125, 685)
(250, 837)
(327, 723)
(275, 1749)
(132, 723)
38 input vectors with 3 parameters
Generating 376 parameters:
(282, 1787)
(265, 875)(337, 761)

(137, 761)
(285, 1825)
(22, 39)
(140, 799)
(275, 913)(353, 799)

(290, 1863)
Stopping samplig
(150, 837)
(295, 1901)

*** Final SPOTPY summary ***
Total Duration: 1.09 seconds
Total Repetitions: 3000
Maximal objective value: -0.502277(40, 77)
Corresponding parameter setting:
x0: 1.05136
x1: 8.72957
x2: 35.7038
******************************


(361, 837)(286, 951)

(159, 875)
(300, 1939)
(295, 989)(372, 875)

(59, 115)
(168, 913)(305, 1977)

(174, 951)
(311, 2015)
(310, 1027)(387, 913)

(78, 153)
(179, 989)
(315, 2053)
(323, 1065)
(182, 1027)
(317, 2091)
(90, 191)
(189, 1065)(322, 2129)

(344, 1103)
(106, 229)
(194, 1103)
(327, 2167)
(331, 2205)
(205, 1141)
(354, 1141)
(125, 267)
(335, 2243)
(211, 1179)
(363, 1179)
Stopping samplig
(140, 305)
(343, 2281)
(218, 1217)

*** Final SPOTPY summary ***
Total Duration: 1.1 seconds
Total Repetitions: 3000
Maximal objective value: -0.389645
Corresponding parameter setting:
x0: 1.07458
x1: 8.64445
x2: 34.9675
******************************

(375, 1217)
(349, 2319)
(226, 1255)
(354, 2357)
(163, 343)
(228, 1293)
(386, 1255)
(360, 2395)
(235, 1331)
(184, 381)
(366, 2433)
(242, 1369)
(246, 1407)
(371, 2471)
(212, 419)
(250, 1445)
(380, 2509)
(255, 1483)
(229, 457)
(259, 1521)
(245, 495)
(262, 1559)
(265, 1597)
(258, 533)
(274, 1635)
(279, 571)
(286, 1673)
(289, 1711)
(290, 609)
(294, 1749)
(309, 647)
(300, 1787)
(315, 1825)
(332, 685)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(327, 1863)
(334, 1901)
(356, 723)
(17, 39)
(16, 39)
(339, 1939)
(371, 761)
(340, 1977)(55, 77)

(29, 77)
(356, 2015)
(385, 799)
(70, 115)
(50, 115)
(361, 2053)
(85, 153)(57, 153)

(368, 2091)
(375, 2129)
(66, 191)
(100, 191)
(388, 2167)
(76, 229)
(116, 229)
38 input vectors with 3 parameters
Generating 376 parameters:
(88, 267)
(135, 267)
(105, 305)
(23, 39)
(155, 305)
(124, 343)
(47, 77)
(178, 343)
(138, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
(69, 115)
(187, 381)
(156, 419)
(17, 39)
(207, 419)
(96, 153)
(167, 457)
(30, 77)
(225, 457)
(117, 191)
(181, 495)
(47, 115)
(239, 495)
(141, 229)
(194, 533)
(256, 533)
(77, 153)
(165, 267)
(205, 571)
(268, 571)
(97, 191)
(194, 305)
(218, 609)
(285, 609)
(117, 229)
(214, 343)
(232, 647)
(302, 647)
(128, 267)
(235, 381)
(254, 685)
(326, 685)
(152, 305)
(267, 723)
(266, 419)
(339, 723)
(169, 343)
(283, 761)
(299, 457)
(356, 761)
(202, 381)
(297, 799)
(370, 799)(332, 495)

38 input vectors with 3 parameters(216, 419)

Generating 376 parameters:
(307, 837)
(343, 533)
(390, 837)
(230, 457)
(320, 875)
(21, 39)
(365, 571)
(243, 495)
(35, 77)
(338, 913)
(390, 609)
Stopping samplig
(260, 533)
(348, 951)
(51, 115)

*** Final SPOTPY summary ***
Total Duration: 1.21 seconds
Total Repetitions: 3000
Maximal objective value: -0.350111
Corresponding parameter setting:
x0: 1.30399
x1: 9.65056
x2: 34.7764
******************************

(277, 571)
(359, 989)
(63, 153)
(373, 1027)(294, 609)

(78, 191)
(91, 229)
(384, 1065)
(312, 647)
(98, 267)
(325, 685)
(110, 305)
(339, 723)
38 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(128, 343)
(354, 761)
(21, 39)
(144, 381)
(98, 151)
(370, 799)
(34, 77)
(162, 419)
(214, 301)
(384, 837)
(45, 115)
(181, 457)
(315, 451)
(61, 153)
(193, 495)
(407, 601)
(81, 191)
(215, 533)
(100, 229)
38 input vectors with 3 parameters
Generating 376 parameters:
(240, 571)
Stopping samplig
(114, 267)

*** Final SPOTPY summary ***
Total Duration: 1.25 seconds
Total Repetitions: 3000
Maximal objective value: -0.366101
Corresponding parameter setting:
x0: 1.32588
x1: 9.93875
x2: 35.422
******************************

(10, 39)
(262, 609)
(125, 305)
(16, 77)
(282, 647)
(142, 343)
(19, 115)
(296, 685)
(24, 153)
(157, 381)
(316, 723)
(31, 191)
(171, 419)
(329, 761)
(45, 229)
(198, 457)
(341, 799)
(55, 267)
(215, 495)
(352, 837)
(61, 305)
(234, 533)
(371, 875)
(74, 343)
(250, 571)
(384, 913)
(86, 381)
(262, 609)
(92, 419)
150 input vectors with 3 parameters
Generating 376 parameters:
(281, 647)
(98, 457)
(111, 151)
38 input vectors with 3 parameters
Generating 376 parameters:
(106, 495)
(295, 685)
(201, 301)
(17, 39)
(114, 533)
(315, 723)
(309, 451)
(123, 571)
(31, 77)
(329, 761)
150 input vectors with 3 parameters
Generating 376 parameters:
(126, 609)(423, 601)

(59, 115)
(348, 799)
38 input vectors with 3 parameters
Generating 376 parameters:
(134, 647)
(16, 39)
(74, 151)
(82, 153)
(370, 837)
(29, 77)
(141, 685)
(45, 115)
(188, 301)
(57, 153)
(382, 875)
(105, 191)
(143, 723)
(80, 191)
(100, 229)
(266, 451)
(155, 761)
(115, 267)
(126, 229)
(132, 305)
(143, 343)
(352, 601)
(166, 799)
(143, 267)
(169, 381)
(204, 419)
(171, 837)
(227, 457)
(428, 751)
(166, 305)
(244, 495)
(175, 875)
(262, 533)
(285, 571)
(186, 343)
(180, 913)
(321, 609)
(340, 647)
(357, 685)
(210, 381)
(186, 951)
(374, 723)
(391, 761)
(190, 989)
(231, 419)
(204, 1027)
(250, 457)
(218, 1065)
(264, 495)
(228, 1103)
(290, 533)
(244, 1141)
(298, 571)
(249, 1179)
(318, 609)
(261, 1217)
(331, 647)
(266, 1255)
(342, 685)
(275, 1293)
Stopping samplig
(355, 723)
(284, 1331)

*** Final SPOTPY summary ***
Total Duration: 1.38 seconds
Total Repetitions: 3000
Maximal objective value: -0.976003
Corresponding parameter setting:
x0: 0.363875
x1: 12.5613
x2: 41.7701
******************************

38 input vectors with 3 parameters
Generating 376 parameters:
(290, 1369)
(23, 39)
(381, 761)
(37, 77)
150 input vectors with 3 parameters
Generating 376 parameters:
(296, 1407)
(73, 115)
Stopping samplig
(88, 153)

*** Final SPOTPY summary ***
Total Duration: 1.4 seconds
Total Repetitions: 3000
Maximal objective value: -1.12697
Corresponding parameter setting:
x0: 0.146129
x1: 27.843
x2: 43.2946
******************************

(106, 191)
(311, 1445)
(95, 151)
(120, 229)
(137, 267)
(317, 1483)
(152, 305)
(183, 301)
(174, 343)
(195, 381)
(321, 1521)
(290, 451)
(217, 419)
(240, 457)
(325, 1559)
Stopping samplig
(381, 601)
(267, 495)

*** Final SPOTPY summary ***
Total Duration: 1.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.953155
Corresponding parameter setting:
x0: 2.88199
x1: 47.5749
x2: 35.0384
******************************

(289, 533)
(329, 1597)
(304, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(317, 609)
(334, 1635)
(21, 39)
(333, 647)
(50, 77)
(352, 685)
(344, 1673)
(362, 723)
(80, 115)
(387, 761)
(112, 153)
38 input vectors with 3 parameters
Generating 376 parameters:
(124, 191)
(354, 1711)
(140, 229)
(16, 39)
(163, 267)
(32, 77)
(358, 1749)
(48, 115)
(190, 305)
(58, 153)
Stopping samplig
(220, 343)
(367, 1787)
(72, 191)
(245, 381)

*** Final SPOTPY summary ***
Total Duration: 1.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.788192
Corresponding parameter setting:
x0: 0.428268
x1: 6.6448
x2: 41.6574
******************************

(85, 229)
(261, 419)
(103, 267)
(377, 1825)
(278, 457)
(113, 305)
(295, 495)
(127, 343)
(157, 381)
(319, 533)
(174, 419)
(335, 571)
(183, 457)
(356, 609)
(195, 495)
(386, 647)(206, 533)

(216, 571)
(229, 609)
(246, 647)
(259, 685)
(274, 723)
(285, 761)
(294, 799)
(314, 837)
(324, 875)
(330, 913)
(344, 951)
(364, 989)
(378, 1027)
38 input vectors with 3 parameters
Generating 376 parameters:
(16, 39)
38 input vectors with 3 parameters
Generating 376 parameters:
(28, 77)
(39, 115)
(7, 39)
(53, 153)
(69, 191)
(89, 229)
38 input vectors with 3 parameters
Generating 376 parameters:
(36, 77)
(107, 267)
(10, 39)
(133, 305)
(19, 77)
(157, 343)
(45, 115)
(42, 115)
(190, 381)
(48, 153)
(212, 419)
(56, 191)
(56, 153)
(229, 457)
(69, 229)
(242, 495)
(75, 267)
(67, 191)
(260, 533)
(91, 305)
(280, 571)
(104, 343)
(114, 381)
(296, 609)
(78, 229)
(119, 419)
(311, 647)
(128, 457)
(343, 685)
(147, 495)
(85, 267)
(363, 723)
(154, 533)
(382, 761)
(158, 571)
(167, 609)
(103, 305)
(178, 647)
Stopping samplig
38 input vectors with 3 parameters
Generating 376 parameters:
(187, 685)

*** Final SPOTPY summary ***
Total Duration: 1.47 seconds
Total Repetitions: 3000
Maximal objective value: -0.726791
Corresponding parameter setting:
x0: 0.525529
x1: 8.62243
x2: 39.1252
******************************

(9, 39)
(112, 343)
(202, 723)
(17, 77)
(209, 761)
(219, 799)
(30, 115)
(124, 381)
(238, 837)
(35, 153)
(245, 875)
(47, 191)
(254, 913)
(57, 229)
(138, 419)
(265, 951)
(62, 267)
(279, 989)
(74, 305)
(291, 1027)
(152, 457)
(83, 343)
(301, 1065)
(88, 381)
(313, 1103)
(101, 419)
(159, 495)
(330, 1141)
(112, 457)
38 input vectors with 3 parameters
Generating 376 parameters:
(345, 1179)
(123, 495)
(15, 39)
(172, 533)
(350, 1217)
(129, 533)
(22, 77)
(136, 571)
(360, 1255)
(28, 115)
(372, 1293)
(154, 609)
(35, 153)
(192, 571)
(381, 1331)
(165, 647)
(40, 191)
(177, 685)
(50, 229)
(185, 723)
(59, 267)
(203, 609)
(195, 761)
(65, 305)
(200, 799)
(75, 343)
(209, 837)
(212, 647)
(82, 381)
(222, 875)
(89, 419)
(231, 913)
(94, 457)
(226, 685)
(103, 495)
(238, 951)
(243, 989)
(111, 533)
(256, 1027)
(122, 571)
(237, 723)
(126, 609)
(265, 1065)
(128, 647)
(273, 1103)
(134, 685)
(284, 1141)
(244, 761)
(139, 723)
(301, 1179)
(149, 761)
(305, 1217)
(155, 799)
(253, 799)
(323, 1255)
(164, 837)
(331, 1293)
(169, 875)
(344, 1331)
(258, 837)
(177, 913)
(356, 1369)
(183, 951)
(368, 1407)
(191, 989)
(266, 875)
(194, 1027)
(380, 1445)
(197, 1065)
(205, 1103)
(276, 913)
(215, 1141)
(234, 1179)
(241, 1217)
(286, 951)
(247, 1255)
(252, 1293)
38 input vectors with 3 parameters
Generating 376 parameters:
(264, 1331)
(296, 989)
(12, 39)
(270, 1369)
(23, 77)
(278, 1407)
(35, 115)
(284, 1445)
(311, 1027)
(49, 153)
(295, 1483)
Stopping samplig
(58, 191)
(299, 1521)
(322, 1065)

*** Final SPOTPY summary ***
(305, 1559)
Total Duration: 1.53 seconds
Total Repetitions: 3000
Maximal objective value: -1.04153
Corresponding parameter setting:
x0: 0.228652(70, 229)

x1: 9.13396
x2: 42.4898
******************************

(310, 1597)
(81, 267)
(91, 305)
(334, 1103)
(320, 1635)
(106, 343)
(323, 1673)
(120, 381)
(334, 1711)
(344, 1141)
(134, 419)
(345, 1749)
(147, 457)
(352, 1787)
(159, 495)
(357, 1825)
(351, 1179)
(166, 533)
(368, 1863)
(176, 571)
(375, 1901)
(189, 609)
(385, 1939)
(363, 1217)
(201, 647)
(214, 685)
(225, 723)
(375, 1255)
(239, 761)
(258, 799)
38 input vectors with 3 parameters
Generating 376 parameters:
(381, 1293)
(267, 837)
(11, 39)
(280, 875)
(15, 77)
(288, 913)
(23, 115)
(306, 951)
(26, 153)
(313, 989)
(39, 191)
(329, 1027)
(45, 229)
(343, 1065)
(57, 267)
(354, 1103)
Stopping samplig
(62, 305)
(363, 1141)
(71, 343)
(371, 1179)

*** Final SPOTPY summary ***
Total Duration: 1.54 seconds
Total Repetitions: 3000
Maximal objective value: -0.452626
Corresponding parameter setting:
x0: 0.932826
x1: 8.92022
x2: 36.3845
******************************

(74, 381)
(381, 1217)
(87, 419)
(92, 457)
(102, 495)
(109, 533)
(118, 571)
(129, 609)
(139, 647)
(143, 685)
(146, 723)
(150, 761)
(159, 799)
(168, 837)
38 input vectors with 3 parameters
Generating 376 parameters:
(172, 875)
(5, 39)
(175, 913)
(11, 77)
(181, 951)
(23, 115)
(186, 989)
(189, 1027)
(28, 153)
(191, 1065)
(35, 191)
(196, 1103)
(51, 229)
(203, 1141)
(57, 267)
(208, 1179)
(68, 305)
(216, 1217)
(74, 343)
(221, 1255)
(85, 381)
(227, 1293)
(240, 1331)
(102, 419)
(250, 1369)
(109, 457)
(256, 1407)
(114, 495)
(262, 1445)
(118, 533)
(273, 1483)
(128, 571)
(275, 1521)
(136, 609)
(282, 1559)
(141, 647)
(146, 685)
(289, 1597)
(293, 1635)
(157, 723)
(303, 1673)
(164, 761)
(304, 1711)
(176, 799)
(310, 1749)
(195, 837)
Stopping samplig
(314, 1787)
(201, 875)
(316, 1825)

*** Final SPOTPY summary ***
Total Duration: 0.64 seconds
Total Repetitions: 3000
Maximal objective value: -0.317074
Corresponding parameter setting:
x0: 1.33203
x1: 9.28036
x2: 34.4655
******************************

(209, 913)
(322, 1863)
(212, 951)
(329, 1901)
(218, 989)
(343, 1939)
(349, 1977)
(228, 1027)
(359, 2015)
(242, 1065)
(366, 2053)
(247, 1103)
(370, 2091)
(257, 1141)
(377, 2129)
(261, 1179)
(266, 1217)
(269, 1255)
(271, 1293)
(281, 1331)
(285, 1369)
38 input vectors with 3 parameters
Generating 376 parameters:
(298, 1407)
(307, 1445)
(7, 39)
(310, 1483)
(17, 77)
(320, 1521)
(24, 115)
(329, 1559)
(33, 153)
(339, 1597)
(44, 191)
(346, 1635)
(46, 229)
(350, 1673)
(54, 267)
(355, 1711)
(59, 305)
(371, 1749)
(70, 343)
(375, 1787)
(82, 381)
(391, 1825)
(88, 419)
(92, 457)
(98, 495)
(108, 533)
(110, 571)
(113, 609)
(120, 647)
(125, 685)
(135, 723)
(140, 761)
Stopping samplig
(152, 799)

*** Final SPOTPY summary ***
Total Duration: 1.62 seconds
Total Repetitions: 3000
Maximal objective value: -0.590622
Corresponding parameter setting:
x0: 0.67343
x1: 7.56785
x2: 39.0631
******************************

(161, 837)
(166, 875)
(171, 913)
(174, 951)
(182, 989)
(188, 1027)
(198, 1065)
(205, 1103)
(220, 1141)
(233, 1179)
(245, 1217)
(247, 1255)
(255, 1293)
(263, 1331)
(268, 1369)
(275, 1407)
(280, 1445)
(282, 1483)
(286, 1521)
(288, 1559)
(291, 1597)
(304, 1635)
(311, 1673)
(318, 1711)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 0.7 seconds
Total Repetitions: 3000
Maximal objective value: -0.364828
Corresponding parameter setting:
x0: 1.41209
x1: 9.52574
x2: 35.2615
******************************

(325, 1749)
(333, 1787)
(339, 1825)
(350, 1863)
(358, 1901)
(363, 1939)
(368, 1977)
(376, 2015)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(11, 77)
(15, 115)
(21, 153)
(40, 191)
(46, 229)
(51, 267)
(55, 305)
(65, 343)
(79, 381)
Stopping samplig
(90, 419)

*** Final SPOTPY summary ***
Total Duration: 0.59 seconds
Total Repetitions: 3000
Maximal objective value: -0.365152
Corresponding parameter setting:
x0: 1.45637
x1: 10.0345
x2: 34.4168
******************************

(103, 457)
(114, 495)
(119, 533)
(127, 571)
(132, 609)
(139, 647)
(145, 685)
(160, 723)
(177, 761)
(184, 799)
(187, 837)
(195, 875)
(198, 913)
(208, 951)
(216, 989)
(220, 1027)
(225, 1065)
(230, 1103)
(233, 1141)
(238, 1179)
(245, 1217)
(247, 1255)
(259, 1293)
(270, 1331)
(277, 1369)
(281, 1407)
(283, 1445)
(291, 1483)
(295, 1521)
(302, 1559)
(310, 1597)
(317, 1635)
(323, 1673)
(329, 1711)
(334, 1749)
(345, 1787)
(354, 1825)
(359, 1863)
(365, 1901)
(378, 1939)
100%|████████████████████████████████████████| 20/20 [00:00<00:00, 30023.65it/s]
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 0.69 seconds
Total Repetitions: 3000
Maximal objective value: -0.346784
Corresponding parameter setting:
x0: 1.45363
x1: 9.50989
x2: 35.2228
******************************

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']

150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(91, 151)
(115, 151)
(187, 301)
(221, 301)
(273, 451)
150 input vectors with 3 parameters
Generating 376 parameters:
(309, 451)
(371, 601)
(92, 151)
(409, 601)
(474, 751)
(206, 301)
(292, 451)
(401, 601)
150 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(92, 151)
(182, 301)
(124, 151)
(293, 451)150 input vectors with 3 parameters
Generating 376 parameters:

(220, 301)
(392, 601)
(114, 151)
(333, 451)
(456, 601)
(207, 301)
(292, 451)
(383, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(47, 77)
(28, 39)
(72, 115)
(48, 77)
(94, 153)
(71, 115)
(116, 191)(91, 153)

(119, 191)
38 input vectors with 3 parameters(141, 229)

Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(151, 229)
(163, 267)
(28, 39)
(180, 267)
(189, 305)
(50, 77)
(207, 305)
(88, 151)
(207, 343)
(72, 115)
(229, 343)
(226, 381)
(93, 153)
(253, 381)
(250, 419)
(113, 191)
(178, 301)
(281, 419)
(268, 457)
(135, 229)
(313, 457)(294, 495)

(154, 267)
(318, 533)
(337, 495)
(178, 305)
(296, 451)
(329, 571)
(371, 533)
(204, 343)
(349, 609)
(389, 571)
(221, 381)
(375, 647)
(413, 601)
(236, 419)
(393, 685)
(257, 457)
(281, 495)
(304, 533)
(330, 571)
(351, 609)
(376, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(18, 39)
(46, 77)
(60, 115)
38 input vectors with 3 parameters
Generating 376 parameters:
(83, 153)
(27, 39)
(103, 191)
(54, 77)
(125, 229)
(79, 115)
(147, 267)
(101, 153)
(169, 305)
38 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(119, 191)
(201, 343)
(18, 39)
(145, 229)
(225, 381)
(47, 77)
(168, 267)
(255, 419)
(71, 115)
(195, 305)
(99, 151)150 input vectors with 3 parameters
Generating 376 parameters:

(278, 457)
(86, 153)
(213, 343)
150 input vectors with 3 parameters
Generating 376 parameters:
(302, 495)
(112, 191)
(240, 381)
(321, 533)
(132, 229)
(258, 419)
(74, 151)
(344, 571)
(154, 267)
(286, 457)
38 input vectors with 3 parameters
Generating 376 parameters:
(206, 301)
(358, 609)
(172, 305)
(311, 495)
(27, 39)
(118, 151)
(382, 647)
(192, 343)
(332, 533)
(47, 77)
150 input vectors with 3 parameters
Generating 376 parameters:
(212, 381)
(355, 571)
(60, 115)
(176, 301)
(292, 451)
(234, 419)
(373, 609)
(87, 153)
(252, 457)
(202, 301)
(391, 647)
(119, 191)
(88, 151)
(279, 495)
(150, 229)
(259, 451)
(375, 601)
(299, 533)
(170, 267)
(324, 571)
(189, 305)
(330, 451)(347, 609)

(224, 343)
(188, 301)
(358, 647)
150 input vectors with 3 parameters
Generating 376 parameters:
(243, 381)
(374, 601)
(471, 751)
(376, 685)
38 input vectors with 3 parameters
Generating 376 parameters:
(274, 419)
(27, 39)
(298, 457)
(435, 601)
(272, 451)
(43, 77)
(328, 495)
(101, 151)
(59, 115)
(478, 751)
(354, 533)
(83, 153)
150 input vectors with 3 parameters
Generating 376 parameters:
(380, 571)
(102, 191)
(381, 601)
(125, 229)
(217, 301)
(159, 267)
(171, 305)
38 input vectors with 3 parameters
Generating 376 parameters:
(111, 151)
38 input vectors with 3 parameters
Generating 376 parameters:
150 input vectors with 3 parameters
Generating 376 parameters:
(197, 343)
(26, 39)
38 input vectors with 3 parameters
Generating 376 parameters:
(21, 39)
(217, 381)
(319, 451)(47, 77)

(20, 39)
(40, 77)
(243, 419)
(83, 151)
(70, 115)
(162, 301)
(49, 77)
(61, 115)
150 input vectors with 3 parameters
Generating 376 parameters:
(265, 457)
150 input vectors with 3 parameters
Generating 376 parameters:
(97, 153)
(82, 153)
(77, 115)
(294, 495)
(122, 191)
(399, 601)
(103, 191)
(99, 153)
(183, 301)
(314, 533)
(145, 229)
(227, 451)
(125, 229)
(122, 191)
(340, 571)
(89, 151)
(172, 267)
(79, 151)
(146, 267)
(149, 229)
(358, 609)
(190, 305)(272, 451)

(167, 305)
(179, 267)
(381, 647)
(210, 343)
(197, 305)
(197, 343)
(329, 601)
(234, 381)
(210, 381)
(221, 343)
(370, 601)
(193, 301)
(176, 301)
(245, 419)
(237, 419)
(243, 381)
(266, 457)
(266, 457)
(269, 419)
(287, 495)
(485, 751)
(418, 751)(289, 495)

(295, 457)
(309, 533)
(276, 451)(311, 533)(270, 451)


(312, 495)
(325, 571)
(331, 571)
(336, 533)
(351, 609)
(352, 609)
(360, 571)
(368, 647)
(376, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(382, 609)
(344, 601)
(389, 685)
(344, 601)
(20, 39)
(38, 77)
(62, 115)
(85, 153)
(460, 751)
(426, 751)
(104, 191)
(126, 229)
(155, 267)
38 input vectors with 3 parameters
Generating 376 parameters:
(179, 305)
(20, 39)
(207, 343)
38 input vectors with 3 parameters
Generating 376 parameters:
(39, 77)
(221, 381)
(19, 39)(58, 115)

(245, 419)
(80, 153)
(41, 77)
(267, 457)
(92, 191)(62, 115)

(283, 495)
(73, 153)
(115, 229)
(86, 191)(315, 533)

(136, 267)
(99, 229)
(341, 571)
(151, 305)
(109, 267)
(371, 609)
(178, 343)
(127, 305)
(396, 647)
(203, 381)
(154, 343)
(220, 419)
(178, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
(243, 457)
(199, 419)
(263, 495)
(21, 39)
(220, 457)
(290, 533)
(50, 77)
(235, 495)
(306, 571)
(74, 115)
(257, 533)
(329, 609)
(100, 153)
(285, 571)
(350, 647)
(121, 191)
(296, 609)
(374, 685)
(144, 229)
(319, 647)
(388, 723)
(334, 685)
(171, 267)
(348, 723)
(367, 761)
(379, 799)
(199, 305)
(225, 343)
(246, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(273, 419)(28, 39)

(27, 39)
38 input vectors with 3 parameters
Generating 376 parameters:
(51, 77)
(294, 457)
(57, 77)
(78, 115)
(27, 39)
38 input vectors with 3 parameters
Generating 376 parameters:
(85, 115)
(99, 153)
(47, 77)
(120, 191)
(23, 39)
(328, 495)
(106, 153)
(64, 115)
(149, 229)
(351, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(56, 77)
(132, 191)
(172, 267)
(94, 153)(374, 571)

38 input vectors with 3 parameters
Generating 376 parameters:
(191, 305)
(77, 115)(157, 229)

(27, 39)
(115, 191)
38 input vectors with 3 parameters
(207, 343)
Generating 376 parameters:
(409, 609)
(24, 39)
(173, 267)
(103, 153)
(53, 77)
(224, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
(38, 77)
(22, 39)
(140, 229)
(194, 305)
(131, 191)
(247, 419)
(77, 115)(17, 39)

(34, 77)
(56, 115)
(160, 267)
(262, 457)
(28, 77)
(219, 343)
(55, 115)
(84, 153)
(155, 229)
(105, 153)
(276, 495)
(48, 115)
(72, 153)
(191, 305)
(94, 191)
(241, 381)
(295, 533)(179, 267)

38 input vectors with 3 parameters(132, 191)

Generating 376 parameters:
(89, 191)
(220, 343)(311, 571)

(115, 229)
(266, 419)
(116, 229)(208, 305)

(159, 229)
(25, 39)
(334, 609)
(136, 267)
(240, 381)
(130, 267)
(287, 457)
(237, 343)
(357, 647)
(140, 305)
(51, 77)(191, 267)

(62, 153)
(266, 419)
(309, 495)
(383, 685)
(154, 343)
(264, 381)
(79, 191)
(214, 305)
(73, 115)
(293, 457)
(335, 533)(153, 305)
(177, 381)

(292, 419)
(108, 229)
(242, 343)
(194, 419)
(97, 153)
(169, 343)
(317, 495)
(359, 571)
(309, 457)
(213, 457)
(123, 191)
(180, 381)
(274, 381)
(381, 609)
(225, 495)
(350, 533)
(330, 495)
(198, 419)
(145, 229)
(249, 533)
38 input vectors with 3 parameters
(302, 419)
Generating 376 parameters:
(379, 571)
(356, 533)
(266, 571)
(164, 267)(123, 267)

(283, 609)
(219, 457)
(17, 39)
(326, 457)
(385, 571)
(140, 305)
(193, 305)
(302, 647)
(243, 495)
38 input vectors with 3 parameters
Generating 376 parameters:
(153, 343)
(41, 77)
(354, 495)
(319, 685)
(221, 343)
(26, 39)
(335, 723)
(273, 533)
(54, 115)
(383, 533)
(50, 77)
(250, 381)
(353, 761)
(288, 571)
(68, 153)
(60, 115)
(368, 799)
(306, 609)
(273, 419)
(168, 381)
(79, 153)
(385, 837)
(85, 191)
(323, 647)
(297, 457)
(105, 191)
(183, 419)
(102, 229)
(339, 685)
(197, 457)(132, 229)

(328, 495)
(128, 267)
(149, 267)
(363, 723)
(349, 533)
(169, 305)
(387, 761)
(151, 305)
(372, 571)
(194, 343)
(171, 343)
(213, 381)
(394, 609)
(213, 495)
(233, 419)
(194, 381)
(238, 533)
(243, 457)
(220, 419)
(256, 571)
(263, 495)
38 input vectors with 3 parameters
Generating 376 parameters:
(271, 609)
(287, 533)
(240, 457)
(12, 39)
(281, 647)
(315, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(19, 77)38 input vectors with 3 parameters
Generating 376 parameters:

(263, 495)
(291, 685)
(334, 609)
(28, 115)
(9, 39)
(311, 723)
(281, 533)38 input vectors with 3 parameters
Generating 376 parameters:

(353, 647)(31, 39)

(41, 153)
(18, 77)
(324, 761)
(371, 685)
(54, 191)
(48, 77)
(305, 571)
(24, 39)
(34, 115)
(343, 799)
(60, 229)
(392, 723)
(44, 153)
(332, 609)
(48, 77)
(65, 267)
(76, 115)
(52, 191)
(72, 305)
(356, 647)
(94, 153)
(81, 343)
(67, 229)
(76, 115)
(87, 381)
(378, 685)
(113, 191)
(360, 837)
(79, 267)(100, 419)

(96, 153)
(377, 875)
(134, 229)
(85, 305)
(117, 457)
(120, 191)
(94, 343)
(129, 495)
(157, 267)
(108, 381)(142, 533)

(144, 229)
(184, 305)
(119, 419)(155, 571)

(194, 343)(163, 609)

(128, 457)
(169, 647)
(162, 267)
(213, 381)
(174, 685)(136, 495)

(180, 305)(180, 723)

(154, 533)
(237, 419)
(190, 761)
(164, 571)
(204, 343)
(260, 457)
(201, 799)
(171, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(211, 837)
(189, 647)
(280, 495)
(10, 39)
(227, 875)
(234, 381)
(22, 77)
(303, 533)
(208, 685)
(239, 913)
(33, 115)
(259, 419)
(246, 951)
(217, 723)
(337, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(43, 153)
(252, 989)
(226, 761)
(277, 457)
(52, 191)
(22, 39)
(362, 609)
(263, 1027)
(230, 799)
(66, 229)
(40, 77)
(301, 495)
(277, 1065)
(248, 837)
(388, 647)
(80, 267)
(53, 115)
(287, 1103)
(259, 875)
(89, 305)
(67, 153)
(300, 1141)
(97, 343)
(327, 533)
(274, 913)
(310, 1179)(87, 191)

(102, 381)
(325, 1217)
(104, 229)
(350, 571)
(285, 951)
(115, 419)
(339, 1255)
(120, 267)
(300, 989)
(126, 457)
(376, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(345, 1293)
(314, 1027)
(145, 305)
(137, 495)
(354, 1331)
(323, 1065)
(22, 39)
(161, 343)
(150, 533)Stopping samplig

(364, 1369)

*** Final SPOTPY summary ***
Total Duration: 0.96 seconds
Total Repetitions: 3000
Maximal objective value: -0.437964
Corresponding parameter setting:
x0: 0.541493
x1: 22.5386
x2: 36.3536
(180, 381)
******************************

(333, 1103)
(162, 571)
(375, 1407)
(47, 77)
(194, 419)
(342, 1141)
(171, 609)
(383, 1445)
(65, 115)(211, 457)

(355, 1179)(183, 647)

Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(223, 495)(190, 685)

(375, 1217)
(94, 153)
(196, 723)
(243, 533)
(385, 1255)
(205, 761)
(260, 571)
(127, 191)
(213, 799)
(271, 609)
(225, 837)
(149, 229)
(291, 647)
38 input vectors with 3 parameters
Generating 376 parameters:
(232, 875)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(307, 685)
(176, 267)
(247, 913)
(25, 39)
(323, 723)
38 input vectors with 3 parameters
Generating 376 parameters:
(261, 951)
(205, 305)
(343, 761)
(10, 39)
(42, 77)
(270, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(21, 77)
(283, 1027)
(357, 799)
(232, 343)
(70, 115)
(32, 39)
(290, 1065)
(38, 115)
(375, 837)
(257, 381)
(302, 1103)
(56, 153)
(88, 153)
(397, 875)
(52, 77)
(311, 1141)
38 input vectors with 3 parameters
Generating 376 parameters:
(73, 191)
(282, 419)
(101, 191)
Stopping samplig
(321, 1179)
(69, 115)
(89, 229)

*** Final SPOTPY summary ***
Total Duration: 1.0 seconds
Total Repetitions: 3000
Maximal objective value: -0.452189
Corresponding parameter setting:
x0: 1.45435
x1: 45.5943
x2: 35.6547
******************************

(332, 1217)
(302, 457)
(25, 39)
(121, 229)
(82, 153)
(108, 267)
(348, 1255)
38 input vectors with 3 parameters
Generating 376 parameters:
(324, 495)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000 (128, 305) repetitions
(140, 267)The objective function will be maximized

Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.

(48, 77)
(355, 1293)
(99, 191)
(367, 1331)
(149, 343)
(19, 39)(345, 533)

(167, 305)
(76, 115)
(121, 229)
(376, 1369)
38 input vectors with 3 parameters
Generating 376 parameters:
(157, 381)
(11, 39)
(41, 77)
(172, 419)
(372, 571)
(192, 343)
(98, 153)
(146, 267)
(21, 77)
(183, 457)
38 input vectors with 3 parameters
Generating 376 parameters:
(30, 115)
(215, 381)(394, 609)

(118, 191)(64, 115)

(169, 305)
(204, 495)
(7, 39)
(40, 153)
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(237, 419)
(89, 153)
(225, 533)
(186, 343)(149, 229)
(16, 77)

(49, 191)
(59, 229)
(245, 571)
(31, 115)
(259, 457)
(110, 191)
(174, 267)
(213, 381)
(70, 267)
(43, 153)
(273, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(277, 495)
(78, 305)
(200, 305)
(234, 419)(51, 191)

(139, 229)
(301, 647)
(88, 343)
(63, 229)
(14, 39)
(301, 533)
(311, 685)
(255, 457)
(229, 343)
(164, 267)
(104, 381)
(76, 267)
(330, 723)
(30, 77)
(117, 419)
(324, 571)
(87, 305)
(272, 495)
(251, 381)
(188, 305)
(350, 761)
(126, 457)
(105, 343)
(44, 115)
(346, 609)
(297, 533)
(271, 419)(360, 799)

(137, 495)
(113, 381)
(216, 343)
(59, 153)
(375, 837)
(119, 419)
(148, 533)
(369, 647)
(327, 571)
(296, 457)
(241, 381)
(390, 875)
(123, 457)
(158, 571)
(79, 191)
(399, 685)
(347, 609)
(135, 495)
(325, 495)
(170, 609)
(266, 419)
(112, 229)
(149, 533)
(182, 647)
(368, 647)
(344, 533)
(195, 685)
(162, 571)
(300, 457)
(142, 267)
(387, 685)
(168, 609)
(206, 723)
(372, 571)
(159, 305)(329, 495)

(180, 647)
(220, 761)
38 input vectors with 3 parameters
Generating 376 parameters:
(394, 609)
(190, 685)
(237, 799)
(178, 343)
(362, 533)
(199, 723)
(17, 39)
(249, 837)
(197, 381)
(209, 761)
(257, 875)(389, 571)

(35, 77)
(220, 799)
(274, 913)
(219, 419)
(59, 115)(234, 837)

(286, 951)
(232, 457)
(248, 875)
Stopping samplig
(297, 989)
(79, 153)

*** Final SPOTPY summary ***
Total Duration: 1.05 seconds
Total Repetitions: 3000
Maximal objective value: -0.346703
Corresponding parameter setting:(260, 913)

x0: 0.898101
x1: 12.246
x2: 35.306
******************************

(300, 1027)(249, 495)

(269, 951)
(92, 191)
(316, 1065)
(255, 533)
(280, 989)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(325, 1103)
(104, 229)
Stopping samplig
(300, 1027)
(271, 571)
(336, 1141)

*** Final SPOTPY summary ***
Total Duration: 1.09 seconds
Total Repetitions: 3000
Maximal objective value: -0.322887
Corresponding parameter setting:
x0: 2.82363
x1: 49.374
x2: 30.3394
******************************

(123, 267)
(312, 1065)
(345, 1179)
(282, 609)
(323, 1103)
(356, 1217)
(140, 305)
Starting the ROPE algotrithm with 3000 repetitions...
Initializing the  RObust Parameter Estimation (ROPE) algorithm  with  3000  repetitions
The objective function will be maximized
Warning: Burn-in samples and total number of repetions are not compatible.
SPOTPY will automatically adjust the number of total repetitions.
(334, 1141)
(295, 647)
(363, 1255)
(152, 343)(343, 1179)

(371, 1293)
(314, 685)
Initialize database...
(354, 1217)
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(380, 1331)
(176, 381)
(365, 1255)
(329, 723)
(376, 1293)
38 input vectors with 3 parameters
Generating 376 parameters:
(195, 419)
38 input vectors with 3 parameters
Generating 376 parameters:
(343, 761)
(15, 39)
Initialize database...(206, 457)

['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
(14, 39)
(357, 799)
(21, 77)
Stopping samplig
(223, 495)
*** Final SPOTPY summary ***
Total Duration: 1.11 seconds
Total Repetitions: 3000
Maximal objective value: -0.419509
Corresponding parameter setting:
x0: 1.33976
x1: 51.1611
x2: 34.6844
******************************


(34, 115)
(28, 77)
(374, 837)
(48, 153)
(246, 533)
(46, 115)
(396, 875)
(59, 191)
(74, 229)
(267, 571)
(55, 153)
(82, 267)
(279, 609)
(62, 191)
(98, 305)
(71, 229)(295, 647)

(113, 343)
(129, 381)
(312, 685)
(93, 267)
(142, 419)
(328, 723)
(106, 305)
(149, 457)
(162, 495)
(343, 761)
(124, 343)
(176, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(354, 799)(133, 381)

(11, 39)
(184, 571)
(19, 77)
(149, 419)
(372, 837)
(195, 609)
(30, 115)
(37, 153)
(43, 191)
(212, 647)
(163, 457)
(390, 875)
(51, 229)
(219, 685)
(56, 267)
(65, 305)
(178, 495)
(228, 723)
(72, 343)
(86, 381)
(234, 761)(189, 533)

(92, 419)
(98, 457)
(245, 799)
(104, 495)
(203, 571)
(111, 533)
(256, 837)
(119, 571)
(125, 609)
(219, 609)
(269, 875)
(140, 647)
(280, 913)
(144, 685)
(230, 647)
(152, 723)
(291, 951)
(158, 761)
(239, 685)
(161, 799)
(298, 989)
(170, 837)
(311, 1027)
(252, 723)
(179, 875)
(327, 1065)
(186, 913)
(267, 761)
(196, 951)
(340, 1103)
(201, 989)
(275, 799)
(344, 1141)
(208, 1027)
(220, 1065)
(360, 1179)
(229, 1103)
(288, 837)
(247, 1141)
(370, 1217)
(259, 1179)
38 input vectors with 3 parameters
Generating 376 parameters:
(303, 875)
(291, 1217)
(382, 1255)
(302, 1255)
(19, 39)
(314, 913)
(308, 1293)
(311, 1331)
(321, 1369)
(39, 77)
(331, 951)
(328, 1407)
(339, 1445)
(345, 1483)
(343, 989)
(55, 115)
(359, 1521)
(367, 1559)
(353, 1027)
(378, 1597)
(82, 153)
(368, 1065)
(101, 191)
(390, 1103)
(123, 229)
(140, 267)
Stopping samplig
(167, 305)
38 input vectors with 3 parameters
Generating 376 parameters:

*** Final SPOTPY summary ***
Total Duration: 1.17 seconds
Total Repetitions: 3000
Maximal objective value: -0.26851
Corresponding parameter setting:
x0: 0.970793
x1: 10.8935
x2: 32.7709
******************************

(188, 343)
(17, 39)
(206, 381)
(46, 77)
38 input vectors with 3 parameters
Generating 376 parameters:
(221, 419)
(66, 115)
(25, 39)
38 input vectors with 3 parameters
Generating 376 parameters:
(241, 457)
(84, 153)
(55, 77)
(27, 39)
(258, 495)
(101, 191)
(77, 115)
(50, 77)
(277, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(115, 229)
(92, 153)
(295, 571)
(77, 115)
(19, 39)
(123, 267)
(122, 191)
(309, 609)
(98, 153)
(142, 305)
(43, 77)
(331, 647)
(143, 229)
(125, 191)
(155, 343)
(72, 115)
(352, 685)
(163, 267)
(150, 229)
(173, 381)
(93, 153)
(179, 305)
(378, 723)
(170, 267)
(192, 419)
(114, 191)
(201, 343)(180, 305)

(211, 457)
(139, 229)
(199, 343)
(225, 381)
(234, 495)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 1.19 seconds
Total Repetitions: 3000
Maximal objective value: -0.192318
Corresponding parameter setting:
x0: 1.04028
x1: 9.29588
x2: 32.004
******************************

(170, 267)
(252, 533)
(227, 381)
(247, 419)
(188, 305)
(271, 571)
(251, 419)
(277, 457)
(208, 343)
(288, 609)
(272, 457)
(295, 495)
(236, 381)
(313, 647)
(290, 495)
(316, 533)
(267, 419)
(329, 685)
(314, 533)
(341, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(344, 723)
(292, 457)
(335, 571)
(355, 609)
38 input vectors with 3 parameters
Generating 376 parameters:
(13, 39)
(12, 39)
(317, 495)
(381, 761)
(373, 647)
(363, 609)
(16, 77)
(22, 115)
(22, 77)
(34, 153)
(345, 533)
(377, 647)
(394, 685)
(47, 191)
(36, 115)
(56, 229)
(62, 267)(368, 571)

(72, 305)
(47, 153)
(79, 343)
(92, 381)
(393, 609)
(56, 191)
(99, 419)
(110, 457)
(118, 495)
(67, 229)
(133, 533)
(140, 571)
(72, 267)
(149, 609)
(155, 647)
(165, 685)
(81, 305)
(171, 723)
(178, 761)
(183, 799)
(85, 343)
(189, 837)
Stopping samplig
(198, 875)

*** Final SPOTPY summary ***
Total Duration: 1.22 seconds
Total Repetitions: 3000
Maximal objective value: -0.182772
Corresponding parameter setting:
x0: 0.981347
x1: 8.30669
x2: 31.4004
******************************

(210, 913)
(97, 381)
(219, 951)
(226, 989)
(105, 419)
(242, 1027)
(251, 1065)
(263, 1103)
(121, 457)
(268, 1141)
(278, 1179)
(286, 1217)
(139, 495)
(294, 1255)
(302, 1293)
(309, 1331)
(151, 533)
(314, 1369)
(322, 1407)
(164, 571)
(333, 1445)
(348, 1483)
(358, 1521)
(178, 609)
(369, 1559)
(377, 1597)
(186, 647)
(198, 685)
(204, 723)
(218, 761)
(229, 799)
(240, 837)
150 input vectors with 3 parameters
Generating 376 parameters:
(250, 875)
(99, 151)
(260, 913)
(233, 301)
(276, 951)
150 input vectors with 3 parameters
Generating 376 parameters:
(321, 451)
38 input vectors with 3 parameters
Generating 376 parameters:
(290, 989)
(85, 151)
(409, 601)
(294, 1027)
(8, 39)
(173, 301)
(310, 1065)
(19, 77)
(242, 451)
(321, 1103)
(38, 115)
(362, 601)
(334, 1141)
(53, 153)
(458, 751)
(344, 1179)
(74, 191)
(350, 1217)
(83, 229)
(369, 1255)
(90, 267)
(382, 1293)
(101, 305)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 1.33 seconds
Total Repetitions: 3000
Maximal objective value: -0.171305
Corresponding parameter setting:
x0: 0.745615
x1: 6.53482
x2: 31.6293
******************************

(117, 343)
(131, 381)
(151, 419)
(167, 457)
(178, 495)
(186, 533)
38 input vectors with 3 parameters
Generating 376 parameters:
(199, 571)
(22, 39)
(213, 609)
(45, 77)
(222, 647)
(54, 115)
(242, 685)
38 input vectors with 3 parameters
Generating 376 parameters:
(75, 153)
(27, 39)
(261, 723)
(53, 77)
(71, 115)
(101, 191)
(90, 153)
(277, 761)
(110, 191)
(114, 229)
(131, 229)
(290, 799)
(149, 267)
(168, 305)
(131, 267)
(296, 837)
(188, 343)
(221, 381)
38 input vectors with 3 parameters
Generating 376 parameters:
(143, 305)
(238, 419)
(312, 875)
(16, 39)
150 input vectors with 3 parameters
Generating 376 parameters:
(256, 457)
Stopping samplig
(33, 77)
(276, 495)
(160, 343)

*** Final SPOTPY summary ***
Total Duration: 1.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.430045
Corresponding parameter setting:
x0: 1.688
x1: 46.4506
x2: 35.7958
******************************

(59, 115)
(294, 533)
(327, 913)
(94, 151)(77, 153)

Stopping samplig
(314, 571)
(90, 191)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 1.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.478938
Corresponding parameter setting:
(341, 609)
x0: 1.39255
x1: 41.702
x2: 36.2951
******************************

(183, 381)
(339, 951)
(100, 229)

*** Final SPOTPY summary ***
Total Duration: 1.41 seconds
Total Repetitions: 3000
Maximal objective value: -0.465349
Corresponding parameter setting:
x0: 0.359527
x1: 26.5489
x2: 37.0325
******************************

(366, 647)
(116, 267)
(226, 301)
(391, 685)
(137, 305)
(351, 989)
(202, 419)
(156, 343)
(308, 451)
(173, 381)
(361, 1027)
(210, 457)
(190, 419)
Stopping samplig
(390, 601)
(206, 457)
(373, 1065)

*** Final SPOTPY summary ***
Total Duration: 1.42 seconds
Total Repetitions: 3000
Maximal objective value: -0.490996
Corresponding parameter setting:
x0: 2.04498
x1: 37.3371
x2: 36.8736
******************************

(226, 495)
(221, 495)
(238, 533)
(384, 1103)
(253, 571)
(246, 533)
(266, 609)
(288, 647)
(311, 685)
(262, 571)
(335, 723)
(367, 761)
(277, 609)
(386, 799)
(291, 647)
(305, 685)
(318, 723)
(336, 761)
(351, 799)
150 input vectors with 3 parameters
Generating 376 parameters:
(368, 837)
(390, 875)
(123, 151)
(210, 301)
(306, 451)
(407, 601)
38 input vectors with 3 parameters
Generating 376 parameters:
(10, 39)
(36, 77)
(47, 115)
(67, 153)
(83, 191)
38 input vectors with 3 parameters
Generating 376 parameters:
(95, 229)
(20, 39)
(112, 267)
(51, 77)
(128, 305)
(72, 115)
(143, 343)
(100, 153)
(165, 381)
(123, 191)
(182, 419)
(153, 229)
(201, 457)
(177, 267)
(215, 495)
(198, 305)
(227, 533)
(223, 343)
(239, 571)
38 input vectors with 3 parameters
Generating 376 parameters:
(241, 381)
(248, 609)
(17, 39)
(264, 419)
(268, 647)
(31, 77)
(278, 457)
(282, 685)
(41, 115)
(294, 723)
(299, 495)
(59, 153)
(314, 761)
(318, 533)
(71, 191)
(331, 799)
(343, 571)
(88, 229)
(349, 837)
(367, 609)
(98, 267)
(372, 875)
(111, 305)
(396, 647)
(394, 913)
(123, 343)
(135, 381)
(153, 419)
(161, 457)
(175, 495)
(191, 533)
(203, 571)
(212, 609)
(229, 647)
Stopping samplig
(246, 685)

*** Final SPOTPY summary ***
Total Duration: 1.48 seconds
Total Repetitions: 3000
Maximal objective value: -0.350266
Corresponding parameter setting:
x0: 1.0657
x1: 13.8286
x2: 33.698
******************************

(260, 723)
(273, 761)
(282, 799)
(303, 837)
(314, 875)
(336, 913)
(354, 951)
(366, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(376, 1027)
38 input vectors with 3 parameters
Generating 376 parameters:
(23, 39)
(11, 39)
(39, 77)
(37, 77)
(60, 115)
(52, 115)
(78, 153)
(63, 153)
(94, 191)
(76, 191)
(108, 229)
(91, 229)
(126, 267)
(103, 267)
(143, 305)
(116, 305)
(172, 343)
(131, 343)
(193, 381)
(144, 381)
(213, 419)
(158, 419)
(243, 457)
(173, 457)
(260, 495)
(184, 495)
(286, 533)
(194, 533)
(306, 571)
(204, 571)
(323, 609)
(218, 609)
(341, 647)
(230, 647)
(362, 685)
(237, 685)
(386, 723)
(250, 723)
(268, 761)
(280, 799)
(291, 837)
(306, 875)
(331, 913)
(344, 951)
(361, 989)
(371, 1027)
38 input vectors with 3 parameters
Generating 376 parameters:
38 input vectors with 3 parameters
Generating 376 parameters:
(389, 1065)
(18, 39)
(12, 39)
(30, 77)
(32, 77)
(42, 115)
(43, 115)
(48, 153)
(54, 153)
(64, 191)
(68, 191)
(85, 229)
(79, 229)
(97, 267)
(90, 267)
(116, 305)
(104, 305)
(135, 343)
(121, 343)
(149, 381)
(131, 381)
(167, 419)
(154, 419)
(184, 457)
(169, 457)
(208, 495)
(177, 495)
(220, 533)
Stopping samplig
(190, 533)
(233, 571)

*** Final SPOTPY summary ***
Total Duration: 1.54 seconds
Total Repetitions: 3000
Maximal objective value: -0.33277
Corresponding parameter setting:
x0: 0.614734
x1: 11.1158
x2: 35.4447
******************************

(208, 571)
(244, 609)
(219, 609)
(261, 647)
(235, 647)
(277, 685)
(244, 685)
(288, 723)
(262, 723)
(300, 761)
(272, 761)
(310, 799)
(321, 837)
(288, 799)
(337, 875)
(298, 837)
(351, 913)
(313, 875)
(360, 951)
(326, 913)
(369, 989)
(339, 951)
(384, 1027)
(358, 989)
(373, 1027)
(387, 1065)
38 input vectors with 3 parameters
Generating 376 parameters:
(14, 39)
(32, 77)
(45, 115)
Stopping samplig
(64, 153)

*** Final SPOTPY summary ***
Total Duration: 1.57 seconds
Total Repetitions: 3000
Maximal objective value: -0.352862
Corresponding parameter setting:
x0: 0.346363
x1: 5.94656
x2: 35.9335
******************************

(78, 191)
(90, 229)
(108, 267)
(127, 305)
(139, 343)
38 input vectors with 3 parameters
Generating 376 parameters:
(162, 381)
(14, 39)
(184, 419)
(196, 457)
(27, 77)
(40, 115)
(211, 495)
(53, 153)
(222, 533)
(64, 191)
(237, 571)
(78, 229)
(248, 609)
(258, 647)
(93, 267)
(268, 685)
(112, 305)
(283, 723)
(121, 343)
(297, 761)
(140, 381)
(308, 799)
(145, 419)
(153, 457)
(323, 837)
(168, 495)
(344, 875)
(176, 533)
(364, 913)
(191, 571)
(384, 951)
(203, 609)
(215, 647)
(232, 685)
(246, 723)
(258, 761)
(273, 799)
(284, 837)
(295, 875)
(306, 913)
(313, 951)
(320, 989)
38 input vectors with 3 parameters
Generating 376 parameters:
(330, 1027)
(12, 39)
Stopping samplig
(343, 1065)
(19, 77)

*** Final SPOTPY summary ***
Total Duration: 0.61 seconds
Total Repetitions: 3000
Maximal objective value: -0.208161
Corresponding parameter setting:
x0: 0.780421
x1: 5.58014
x2: 30.1503
******************************

(359, 1103)
(31, 115)
(365, 1141)
(47, 153)
(382, 1179)
(59, 191)
(76, 229)
(85, 267)
(98, 305)
(111, 343)
(125, 381)
(134, 419)
(143, 457)
(152, 495)
(168, 533)
(175, 571)
(190, 609)
(208, 647)
(214, 685)
(222, 723)
(233, 761)
(241, 799)
(252, 837)
(270, 875)
(280, 913)
(292, 951)
(302, 989)
(317, 1027)
(328, 1065)
(338, 1103)
(348, 1141)
(359, 1179)
(372, 1217)
(384, 1255)
38 input vectors with 3 parameters
Generating 376 parameters:
(8, 39)
(37, 77)
(57, 115)
(65, 153)
(73, 191)
(84, 229)
(99, 267)
(120, 305)
(128, 343)
(136, 381)
(145, 419)
(156, 457)
(166, 495)
(178, 533)
Stopping samplig
(188, 571)

*** Final SPOTPY summary ***
Total Duration: 0.7 seconds
Total Repetitions: 3000
Maximal objective value: -0.234239
Corresponding parameter setting:
x0: 1.12678
x1: 9.21128
x2: 31.8303
******************************

(198, 609)
(208, 647)
(220, 685)
(240, 723)
(252, 761)
(272, 799)
(289, 837)
(304, 875)
(314, 913)
(328, 951)
(336, 989)
(348, 1027)
(360, 1065)
(374, 1103)
(390, 1141)
Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 0.6 seconds
Total Repetitions: 3000
Maximal objective value: -0.224305
Corresponding parameter setting:
x0: 1.20177
x1: 9.1965
x2: 31.7305
******************************

Stopping samplig

*** Final SPOTPY summary ***
Total Duration: 0.64 seconds
Total Repetitions: 3000
Maximal objective value: -0.17912
Corresponding parameter setting:
x0: 1.15594
x1: 9.07958
x2: 31.5363
******************************

../_images/gallery_nb_paper-cs-vs-fs_2_15.png
../_images/gallery_nb_paper-cs-vs-fs_2_16.png
[3]:
# figure
titles = ['(a) FS 0 m', '(b) FS 1 m', '(c) CS 0 m', '(d) CS 1 m']
fig, axs = plt.subplots(2, 2, figsize=(10, 5), sharex=True, sharey=True)
axs = axs.flatten()
for i, k in enumerate(ks):
    ax = axs[i]
    k.showResults(ax=ax, vmin=0, vmax=60, maxDepth=5, errorbar=True, dist=False)
    ax.step(-np.vstack([depths, depths[-1,:]]), 'r-', where='post')
    if i % 2 == 0:
        fig.axes[-1].remove() # remove colorbar
    else:
        ax.set_ylabel('')
    if i < 2:
        ax.set_xlabel('')
    ax.set_title(titles[i])
ax.set_xticks(np.arange(0, 21, 5))
fig.tight_layout()
../_images/gallery_nb_paper-cs-vs-fs_3_0.png