
 TSEMO log file created on 11-Feb-2025 

 This file shows the initial specifications of TSEMO and logs the output.
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 License information 

 BSD 2-Clause License 

 Copyright (c) 2017, Eric Bradford, Artur M. Schweidtmann and Alexei Lapkin
 All rights reserved. 

 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met: 

 *Redistributions of source code must retain the above copyright notice, this   
  list of conditions and the following disclaimer. 

 *Redistributions in binary form must reproduce the above copyright notice,   
  this list of conditions and the following disclaimer in the documentation   
  and/or other materials provided with the distribution. 

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 Problem specifications 

 Function used:   branincurrin 

 Number of inputs:   2
 Number of outputs:  2 

 Lower bounds of decision variables:
      x1      x2
  0.0000  0.0000
 
 Upper bounds of decision variables:
      x1      x2
  1.0000  1.0000
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 Algorithm options 

 Maximum number of function evaluations:  50
 Sample batch size:                       1
 Number of algorithm iterations:          50 

 Genetic algorithm population size:        100
 Genetic algorithm number of generations:  100 

                                               f1      f2
 Number of spectral sampling points:         4000    4000
 Type of matern function:                       1       1
 Direct evaluations per input dimension:      200     200
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 Initial data set 

 Number of initial data points:  20 

 Initial input data matrix:
      x1      x2
  0.0149  0.3858
  0.2952  0.3337
  0.8967  0.8641
  0.6868  0.3451
  0.6794  0.9992
  0.7243  0.0922
  0.2808  0.7101
  0.0080  0.7713
  0.8199  0.4697
  0.3160  0.6545
  0.2866  0.5232
  0.4776  0.0025
  0.3528  0.9135
  0.3932  0.5674
  0.6088  0.9104
  0.9641  0.4970
  0.8279  0.0424
  0.1452  0.1710
  0.2773  0.0451
  0.5781  0.9246

 Initial output data matrix:
      f1      f2
126.4003  3.3004
 21.8668 10.4072
129.6993  4.5213
 31.2032  8.2517
203.9899  4.2563
 18.8504 10.6146
 27.7866  6.8309
 39.3924  1.8288
 48.4688  6.8274
 30.8111  7.0651
 17.7816  8.2905
 14.3796 11.8693
 85.7204  5.4369
 30.6944  7.3454
149.3789  4.6913
 24.8959  6.4768
 14.4945 10.4062
 81.0779 12.3715
 62.0102 13.5396
145.0103  4.7002

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 Algorithm iteration 1 

 Predicted hypervolume improvement:    1.1264
 Time taken:    4.2052 

 Proposed evaluation point(s): 
      x1      x2
  0.0014  0.7213

 Corresponding observation(s): 
      f1      f2
 52.3295  1.5709

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  0.8110  1.4324
         lambda2  0.8797  1.8187
          sigmaf 61.6282  4.6797
          sigman  0.1362  0.0084

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 Algorithm iteration 2 

 Predicted hypervolume improvement:    1.2245
 Time taken:    3.3577 

 Proposed evaluation point(s): 
      x1      x2
  0.4341  0.5135

 Corresponding observation(s): 
      f1      f2
 25.1100  7.5914

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  0.8419  1.4813
         lambda2  0.9841  2.0702
          sigmaf 62.8326  4.4130
          sigman  0.1346  0.0082

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 Algorithm iteration 3 

 Predicted hypervolume improvement:    0.5334
 Time taken:    4.2893 

 Proposed evaluation point(s): 
      x1      x2
  0.3755  0.6906

 Corresponding observation(s): 
      f1      f2
 45.9814  6.5406

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  0.9145  1.5573
         lambda2  1.0503  2.1928
          sigmaf 62.9165  4.4311
          sigman  0.1317  0.0080

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 Algorithm iteration 4 

 Predicted hypervolume improvement:    1.6553
 Time taken:    3.4901 

 Proposed evaluation point(s): 
      x1      x2
  0.9022  0.3362

 Corresponding observation(s): 
      f1      f2
 14.3308  7.9590

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  0.9689  1.6283
         lambda2  1.1206  2.3420
          sigmaf 64.2159  4.4494
          sigman  0.1311  0.0079

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 Algorithm iteration 5 

 Predicted hypervolume improvement:    1.0813
 Time taken:    3.3998 

 Proposed evaluation point(s): 
      x1      x2
  0.4681  0.6381

 Corresponding observation(s): 
      f1      f2
 45.0194  6.4850

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.0231  1.7061
         lambda2  1.2298  2.5309
          sigmaf 64.2479  4.4825
          sigman  0.1286  0.0077

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 Algorithm iteration 6 

 Predicted hypervolume improvement:    1.3008
 Time taken:    3.4861 

 Proposed evaluation point(s): 
      x1      x2
  0.2068  0.7218

 Corresponding observation(s): 
      f1      f2
  8.7195  6.8914

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.0930  1.7794
         lambda2  1.2763  2.6363
          sigmaf 65.7441  4.4760
          sigman  0.1283  0.0076

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 Algorithm iteration 7 

 Predicted hypervolume improvement:    1.7439
 Time taken:    3.9107 

 Proposed evaluation point(s): 
      x1      x2
  0.0231  0.7499

 Corresponding observation(s): 
      f1      f2
 34.0135  2.6125

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.1165  1.7296
         lambda2  1.2673  2.8382
          sigmaf 65.9718  4.7383
          sigman  0.1264  0.0077

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 Algorithm iteration 8 

 Predicted hypervolume improvement:    0.4450
 Time taken:    3.6577 

 Proposed evaluation point(s): 
      x1      x2
  0.0443  0.7502

 Corresponding observation(s): 
      f1      f2
 23.0892  3.5983

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.1717  1.7504
         lambda2  1.3158  2.9268
          sigmaf 66.9274  4.6754
          sigman  0.1250  0.0078

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 Algorithm iteration 9 

 Predicted hypervolume improvement:    0.5350
 Time taken:    4.0493 

 Proposed evaluation point(s): 
      x1      x2
  0.2568  0.5469

 Corresponding observation(s): 
      f1      f2
 13.9816  8.1920

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.2250  1.7545
         lambda2  1.3461  2.9946
          sigmaf 67.9130  4.5943
          sigman  0.1242  0.0076

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 Algorithm iteration 10 

 Predicted hypervolume improvement:    0.5720
 Time taken:    3.7105 

 Proposed evaluation point(s): 
      x1      x2
  0.0038  0.7352

 Corresponding observation(s): 
      f1      f2
 48.1104  1.6773

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.2769  1.8240
         lambda2  1.4326  3.2281
          sigmaf 67.9013  4.8467
          sigman  0.1221  0.0079

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 Algorithm iteration 11 

 Predicted hypervolume improvement:    0.5487
 Time taken:    4.2732 

 Proposed evaluation point(s): 
      x1      x2
  0.0097  0.6765

 Corresponding observation(s): 
      f1      f2
 55.1912  2.0954

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3125  1.8796
         lambda2  1.5194  3.5013
          sigmaf 68.0836  4.8192
          sigman  0.1200  0.0080

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 Algorithm iteration 12 

 Predicted hypervolume improvement:    0.4200
 Time taken:    3.5412 

 Proposed evaluation point(s): 
      x1      x2
  0.0550  0.8226

 Corresponding observation(s): 
      f1      f2
 11.6196  3.7947

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3354  1.9327
         lambda2  1.6093  3.8281
          sigmaf 68.9649  4.7581
          sigman  0.1195  0.0080

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 Algorithm iteration 13 

 Predicted hypervolume improvement:    0.4480
 Time taken:    4.0382 

 Proposed evaluation point(s): 
      x1      x2
  0.0512  0.8444

 Corresponding observation(s): 
      f1      f2
 11.2392  3.5785

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.2446  1.9315
         lambda2  1.6467  3.9851
          sigmaf 68.2784  4.7412
          sigman  0.1190  0.0079

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 Algorithm iteration 14 

 Predicted hypervolume improvement:    0.3524
 Time taken:    4.2319 

 Proposed evaluation point(s): 
      x1      x2
  0.0703  0.8011

 Corresponding observation(s): 
      f1      f2
  8.5152  4.4260

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.2530  1.9901
         lambda2  1.7294  4.2813
          sigmaf 68.3930  4.7453
          sigman  0.1186  0.0079

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 Algorithm iteration 15 

 Predicted hypervolume improvement:    0.3921
 Time taken:    4.3829 

 Proposed evaluation point(s): 
      x1      x2
  0.0133  0.8529

 Corresponding observation(s): 
      f1      f2
 25.4643  1.9413

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3084  2.0394
         lambda2  1.8024  4.3595
          sigmaf 68.3638  4.8466
          sigman  0.1173  0.0080

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 Algorithm iteration 16 

 Predicted hypervolume improvement:    0.9488
 Time taken:    4.2031 

 Proposed evaluation point(s): 
      x1      x2
  0.1043  0.8367

 Corresponding observation(s): 
      f1      f2
  1.0017  5.2232

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3540  2.1470
         lambda2  1.8543  4.9381
          sigmaf 69.1541  4.8734
          sigman  0.1173  0.0079

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 Algorithm iteration 17 

 Predicted hypervolume improvement:    0.1553
 Time taken:    3.9210 

 Proposed evaluation point(s): 
      x1      x2
  0.0790  0.8514

 Corresponding observation(s): 
      f1      f2
  3.8886  4.5056

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3840  2.1649
         lambda2  1.9043  4.9807
          sigmaf 69.2962  4.8590
          sigman  0.1170  0.0078

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 Algorithm iteration 18 

 Predicted hypervolume improvement:    0.1856
 Time taken:    3.2665 

 Proposed evaluation point(s): 
      x1      x2
  0.0124  0.8895

 Corresponding observation(s): 
      f1      f2
 21.9600  1.8411

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.4374  2.2220
         lambda2  1.9691  5.0841
          sigmaf 69.0444  4.9512
          sigman  0.1159  0.0079

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 Algorithm iteration 19 

 Predicted hypervolume improvement:    0.4043
 Time taken:    3.5431 

 Proposed evaluation point(s): 
      x1      x2
  0.0265  0.9469

 Corresponding observation(s): 
      f1      f2
 12.4059  2.3419

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.4428  2.3103
         lambda2  2.0308  5.5783
          sigmaf 68.9897  5.0088
          sigman  0.1151  0.0079

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 Algorithm iteration 20 

 Predicted hypervolume improvement:    0.2288
 Time taken:    3.5387 

 Proposed evaluation point(s): 
      x1      x2
  0.0292  0.8295

 Corresponding observation(s): 
      f1      f2
 20.8597  2.7044

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.3939  2.3671
         lambda2  2.0753  5.8800
          sigmaf 68.1075  5.0110
          sigman  0.1140  0.0079

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 Algorithm iteration 21 

 Predicted hypervolume improvement:    0.2441
 Time taken:    3.3788 

 Proposed evaluation point(s): 
      x1      x2
  0.0463  0.9134

 Corresponding observation(s): 
      f1      f2
  8.5794  3.1957

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.4391  2.4311
         lambda2  2.1318  5.9765
          sigmaf 68.4978  4.9798
          sigman  0.1135  0.0079

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 Algorithm iteration 22 

 Predicted hypervolume improvement:    0.4125
 Time taken:    3.4170 

 Proposed evaluation point(s): 
      x1      x2
  0.0741  0.8797

 Corresponding observation(s): 
      f1      f2
  3.8506  4.2519

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.4794  2.4830
         lambda2  2.2135  6.2079
          sigmaf 68.9003  4.9635
          sigman  0.1131  0.0078

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 Algorithm iteration 23 

 Predicted hypervolume improvement:    0.3077
 Time taken:    3.3206 

 Proposed evaluation point(s): 
      x1      x2
  0.0473  0.9080

 Corresponding observation(s): 
      f1      f2
  8.5906  3.2460

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.5189  2.5368
         lambda2  2.3022  6.4298
          sigmaf 69.0166  4.9945
          sigman  0.1125  0.0078

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 Algorithm iteration 24 

 Predicted hypervolume improvement:    0.3497
 Time taken:    3.4401 

 Proposed evaluation point(s): 
      x1      x2
  0.0353  0.9638

 Corresponding observation(s): 
      f1      f2
  9.2312  2.6575

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.5560  2.5926
         lambda2  2.3935  6.7050
          sigmaf 69.2196  5.0277
          sigman  0.1119  0.0078

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 Algorithm iteration 25 

 Predicted hypervolume improvement:    0.1623
 Time taken:    3.4641 

 Proposed evaluation point(s): 
      x1      x2
  0.0657  0.9208

 Corresponding observation(s): 
      f1      f2
  4.2567  3.8520

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.5663  2.6447
         lambda2  2.4629  6.9034
          sigmaf 69.2750  4.9934
          sigman  0.1114  0.0077

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 Algorithm iteration 26 

 Predicted hypervolume improvement:    0.0825
 Time taken:    3.6226 

 Proposed evaluation point(s): 
      x1      x2
  0.0647  0.8962

 Corresponding observation(s): 
      f1      f2
  5.0710  3.8977

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.6083  2.6962
         lambda2  2.5322  7.0692
          sigmaf 69.4018  4.9892
          sigman  0.1109  0.0076

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 27 

 Predicted hypervolume improvement:    0.0615
 Time taken:    3.7853 

 Proposed evaluation point(s): 
      x1      x2
  0.0159  0.9463

 Corresponding observation(s): 
      f1      f2
 15.8139  1.9061

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.6502  2.7532
         lambda2  2.6105  7.2626
          sigmaf 69.3324  5.0511
          sigman  0.1101  0.0077

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 28 

 Predicted hypervolume improvement:    0.0864
 Time taken:    4.2051 

 Proposed evaluation point(s): 
      x1      x2
  0.0845  0.9451

 Corresponding observation(s): 
      f1      f2
  2.2189  4.3135

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.6975  2.8289
         lambda2  2.6541  7.4795
          sigmaf 69.6428  5.0051
          sigman  0.1097  0.0076

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 29 

 Predicted hypervolume improvement:    0.0969
 Time taken:    4.2290 

 Proposed evaluation point(s): 
      x1      x2
  0.0776  0.9236

 Corresponding observation(s): 
      f1      f2
  2.6423  4.2023

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.7233  2.8620
         lambda2  2.7174  7.6343
          sigmaf 69.6577  4.9972
          sigman  0.1093  0.0075

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 30 

 Predicted hypervolume improvement:    0.1920
 Time taken:    4.2517 

 Proposed evaluation point(s): 
      x1      x2
  0.0452  0.9451

 Corresponding observation(s): 
      f1      f2
  7.5883  3.0734

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.7687  2.9190
         lambda2  2.7861  7.7880
          sigmaf 69.6701  5.0159
          sigman  0.1087  0.0075

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 31 

 Predicted hypervolume improvement:    0.0805
 Time taken:    3.7319 

 Proposed evaluation point(s): 
      x1      x2
  0.1183  0.8591

 Corresponding observation(s): 
      f1      f2
  0.5991  5.3949

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.8105  2.9759
         lambda2  2.8551  7.9782
          sigmaf 69.9360  4.9878
          sigman  0.1083  0.0074

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 32 

 Predicted hypervolume improvement:    0.0826
 Time taken:    3.6700 

 Proposed evaluation point(s): 
      x1      x2
  0.0537  0.9566

 Corresponding observation(s): 
      f1      f2
  5.6130  3.3455

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.8561  3.0282
         lambda2  2.9207  8.0472
          sigmaf 69.9466  4.9956
          sigman  0.1078  0.0074

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 33 

 Predicted hypervolume improvement:    0.0789
 Time taken:    3.6103 

 Proposed evaluation point(s): 
      x1      x2
  0.0638  0.9383

 Corresponding observation(s): 
      f1      f2
  4.2624  3.7356

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.9002  3.0842
         lambda2  2.9763  8.1544
          sigmaf 70.0266  4.9780
          sigman  0.1073  0.0073

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 34 

 Predicted hypervolume improvement:    0.1687
 Time taken:    3.8885 

 Proposed evaluation point(s): 
      x1      x2
  0.0386  1.0000

 Corresponding observation(s): 
      f1      f2
  7.5507  2.7061

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.9409  3.1392
         lambda2  3.0506  8.3559
          sigmaf 70.0653  5.0036
          sigman  0.1067  0.0073

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 35 

 Predicted hypervolume improvement:    0.0492
 Time taken:    3.8373 

 Proposed evaluation point(s): 
      x1      x2
  0.0131  0.9830

 Corresponding observation(s): 
      f1      f2
 14.4235  1.7354

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.9235  3.1924
         lambda2  3.1101  8.6836
          sigmaf 69.6134  5.0517
          sigman  0.1059  0.0073

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 36 

 Predicted hypervolume improvement:    0.1155
 Time taken:    3.7471 

 Proposed evaluation point(s): 
      x1      x2
  0.0978  0.9545

 Corresponding observation(s): 
      f1      f2
  2.2959  4.5978

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.9588  3.2755
         lambda2  3.1621  9.0842
          sigmaf 69.7839  5.0373
          sigman  0.1055  0.0073

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 37 

 Predicted hypervolume improvement:    0.1197
 Time taken:    3.5706 

 Proposed evaluation point(s): 
      x1      x2
  0.0373  0.9808

 Corresponding observation(s): 
      f1      f2
  8.2326  2.6975

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  1.9979  3.3208
         lambda2  3.2145  9.1708
          sigmaf 69.6805  5.0535
          sigman  0.1048  0.0073

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 38 

 Predicted hypervolume improvement:    0.0589
 Time taken:    3.5877 

 Proposed evaluation point(s): 
      x1      x2
  0.1261  0.8074

 Corresponding observation(s): 
      f1      f2
  0.4104  5.7772

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.0279  3.3741
         lambda2  3.3015  9.4755
          sigmaf 69.9232  5.0375
          sigman  0.1045  0.0072

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 39 

 Predicted hypervolume improvement:    0.0465
 Time taken:    3.5861 

 Proposed evaluation point(s): 
      x1      x2
  0.0761  0.9976

 Corresponding observation(s): 
      f1      f2
  3.5702  3.9220

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.0698  3.4229
         lambda2  3.3661  9.7047
          sigmaf 70.0017  5.0486
          sigman  0.1040  0.0072

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 40 

 Predicted hypervolume improvement:    0.0939
 Time taken:    3.5832 

 Proposed evaluation point(s): 
      x1      x2
  0.1812  0.7631

 Corresponding observation(s): 
      f1      f2
  5.0391  6.5620

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.0921  3.4598
         lambda2  3.4289  9.9080
          sigmaf 69.9287  5.0489
          sigman  0.1035  0.0071

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 41 

 Predicted hypervolume improvement:    0.0380
 Time taken:    3.5975 

 Proposed evaluation point(s): 
      x1      x2
  0.0444  0.9712

 Corresponding observation(s): 
      f1      f2
  7.0290  2.9800

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.1332  3.5121
         lambda2  3.4864  9.9863
          sigmaf 69.9610  5.0498
          sigman  0.1029  0.0071

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 42 

 Predicted hypervolume improvement:    0.0399
 Time taken:    3.5806 

 Proposed evaluation point(s): 
      x1      x2
  0.0949  0.8664

 Corresponding observation(s): 
      f1      f2
  1.4152  4.8746

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.1740  3.5683
         lambda2  3.5418 10.1241
          sigmaf 70.0766  5.0211
          sigman  0.1025  0.0070

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 43 

 Predicted hypervolume improvement:    0.0093
 Time taken:    3.6123 

 Proposed evaluation point(s): 
      x1      x2
  0.0226  0.9965

 Corresponding observation(s): 
      f1      f2
 11.1310  2.1006

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.2180  3.6220
         lambda2  3.5979 10.2504
          sigmaf 69.9583  5.0597
          sigman  0.1018  0.0070

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 44 

 Predicted hypervolume improvement:    0.0099
 Time taken:    3.5714 

 Proposed evaluation point(s): 
      x1      x2
  0.1119  0.8764

 Corresponding observation(s): 
      f1      f2
  0.7424  5.2001

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.2552  3.6811
         lambda2  3.6429 10.3450
          sigmaf 70.0733  5.0058
          sigman  0.1015  0.0070

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 45 

 Predicted hypervolume improvement:    0.0055
 Time taken:    3.5817 

 Proposed evaluation point(s): 
      x1      x2
  0.0060  1.0000

 Corresponding observation(s): 
      f1      f2
 15.5974  1.4268

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.2926  3.7329
         lambda2  3.7163 10.5112
          sigmaf 69.9293  5.0684
          sigman  0.1008  0.0070

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 46 

 Predicted hypervolume improvement:    0.0108
 Time taken:    3.6400 

 Proposed evaluation point(s): 
      x1      x2
  0.1560  0.8070

 Corresponding observation(s): 
      f1      f2
  2.4107  6.1444

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.3234  3.8272
         lambda2  3.7571 10.8504
          sigmaf 69.9870  5.0523
          sigman  0.1003  0.0070

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 47 

 Predicted hypervolume improvement:    0.0429
 Time taken:    3.5411 

 Proposed evaluation point(s): 
      x1      x2
  0.1451  0.9941

 Corresponding observation(s): 
      f1      f2
 12.3655  5.1667

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.3671  3.8805
         lambda2  3.8085 10.8995
          sigmaf 69.8662  5.0318
          sigman  0.0997  0.0069

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 48 

 Predicted hypervolume improvement:    0.0052
 Time taken:    3.6061 

 Proposed evaluation point(s): 
      x1      x2
  0.0622  0.9888

 Corresponding observation(s): 
      f1      f2
  4.2770  3.5381

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.3943  3.8972
         lambda2  3.8481 10.9867
          sigmaf 69.8372  5.0241
          sigman  0.0992  0.0069

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 49 

 Predicted hypervolume improvement:    0.0083
 Time taken:    3.6501 

 Proposed evaluation point(s): 
      x1      x2
  0.1250  0.7800

 Corresponding observation(s): 
      f1      f2
  0.6865  5.9047

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.4374  3.9513
         lambda2  3.8957 11.0911
          sigmaf 69.8989  5.0092
          sigman  0.0989  0.0068

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Algorithm iteration 50 

 Predicted hypervolume improvement:    0.0152
 Time taken:    3.6354 

 Proposed evaluation point(s): 
      x1      x2
  0.1214  0.8119

 Corresponding observation(s): 
      f1      f2
  0.4401  5.6763

 Current hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.4703  3.9958
         lambda2  3.9710 11.4238
          sigmaf 70.0107  5.0210
          sigman  0.0985  0.0068

 ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
 Final algorithm output 

 Final input data matrix:
      x1      x2
  0.0149  0.3858
  0.2952  0.3337
  0.8967  0.8641
  0.6868  0.3451
  0.6794  0.9992
  0.7243  0.0922
  0.2808  0.7101
  0.0080  0.7713
  0.8199  0.4697
  0.3160  0.6545
  0.2866  0.5232
  0.4776  0.0025
  0.3528  0.9135
  0.3932  0.5674
  0.6088  0.9104
  0.9641  0.4970
  0.8279  0.0424
  0.1452  0.1710
  0.2773  0.0451
  0.5781  0.9246
  0.0014  0.7213
  0.4341  0.5135
  0.3755  0.6906
  0.9022  0.3362
  0.4681  0.6381
  0.2068  0.7218
  0.0231  0.7499
  0.0443  0.7502
  0.2568  0.5469
  0.0038  0.7352
  0.0097  0.6765
  0.0550  0.8226
  0.0512  0.8444
  0.0703  0.8011
  0.0133  0.8529
  0.1043  0.8367
  0.0790  0.8514
  0.0124  0.8895
  0.0265  0.9469
  0.0292  0.8295
  0.0463  0.9134
  0.0741  0.8797
  0.0473  0.9080
  0.0353  0.9638
  0.0657  0.9208
  0.0647  0.8962
  0.0159  0.9463
  0.0845  0.9451
  0.0776  0.9236
  0.0452  0.9451
  0.1183  0.8591
  0.0537  0.9566
  0.0638  0.9383
  0.0386  1.0000
  0.0131  0.9830
  0.0978  0.9545
  0.0373  0.9808
  0.1261  0.8074
  0.0761  0.9976
  0.1812  0.7631
  0.0444  0.9712
  0.0949  0.8664
  0.0226  0.9965
  0.1119  0.8764
  0.0060  1.0000
  0.1560  0.8070
  0.1451  0.9941
  0.0622  0.9888
  0.1250  0.7800
  0.1214  0.8119

 Final output data matrix:
      f1      f2
126.4003  3.3004
 21.8668 10.4072
129.6993  4.5213
 31.2032  8.2517
203.9899  4.2563
 18.8504 10.6146
 27.7866  6.8309
 39.3924  1.8288
 48.4688  6.8274
 30.8111  7.0651
 17.7816  8.2905
 14.3796 11.8693
 85.7204  5.4369
 30.6944  7.3454
149.3789  4.6913
 24.8959  6.4768
 14.4945 10.4062
 81.0779 12.3715
 62.0102 13.5396
145.0103  4.7002
 52.3295  1.5709
 25.1100  7.5914
 45.9814  6.5406
 14.3308  7.9590
 45.0194  6.4850
  8.7195  6.8914
 34.0135  2.6125
 23.0892  3.5983
 13.9816  8.1920
 48.1104  1.6773
 55.1912  2.0954
 11.6196  3.7947
 11.2392  3.5785
  8.5152  4.4260
 25.4643  1.9413
  1.0017  5.2232
  3.8886  4.5056
 21.9600  1.8411
 12.4059  2.3419
 20.8597  2.7044
  8.5794  3.1957
  3.8506  4.2519
  8.5906  3.2460
  9.2312  2.6575
  4.2567  3.8520
  5.0710  3.8977
 15.8139  1.9061
  2.2189  4.3135
  2.6423  4.2023
  7.5883  3.0734
  0.5991  5.3949
  5.6130  3.3455
  4.2624  3.7356
  7.5507  2.7061
 14.4235  1.7354
  2.2959  4.5978
  8.2326  2.6975
  0.4104  5.7772
  3.5702  3.9220
  5.0391  6.5620
  7.0290  2.9800
  1.4152  4.8746
 11.1310  2.1006
  0.7424  5.2001
 15.5974  1.4268
  2.4107  6.1444
 12.3655  5.1667
  4.2770  3.5381
  0.6865  5.9047
  0.4401  5.6763

 Input data matrix of corresponding Pareto front:
      x1      x2
  0.0353  0.9638
  0.0657  0.9208
  0.0845  0.9451
  0.0776  0.9236
  0.1183  0.8591
  0.0537  0.9566
  0.0638  0.9383
  0.0386  1.0000
  0.0131  0.9830
  0.0373  0.9808
  0.1261  0.8074
  0.0761  0.9976
  0.0444  0.9712
  0.0949  0.8664
  0.0226  0.9965
  0.1119  0.8764
  0.0060  1.0000
  0.0622  0.9888
  0.1214  0.8119

 Output data matrix of corresponding Pareto front:
      f1      f2
  9.2312  2.6575
  4.2567  3.8520
  2.2189  4.3135
  2.6423  4.2023
  0.5991  5.3949
  5.6130  3.3455
  4.2624  3.7356
  7.5507  2.7061
 14.4235  1.7354
  8.2326  2.6975
  0.4104  5.7772
  3.5702  3.9220
  7.0290  2.9800
  1.4152  4.8746
 11.1310  2.1006
  0.7424  5.2001
 15.5974  1.4268
  4.2770  3.5381
  0.4401  5.6763

 Input data matrix of Pareto front of final Gaussian process model:
      x1      x2
  0.0000  1.0000
  0.9738  0.0000
  0.0000  1.0000
  0.1280  0.8205
  0.0056  1.0000
  0.0079  1.0000
  0.0164  1.0000
  0.0948  0.9103
  0.0223  1.0000
  0.0146  1.0000
  0.0627  0.9669
  0.0195  1.0000
  0.0026  1.0000
  0.0953  0.8975
  0.1224  0.8333
  0.1061  0.8550
  0.0247  1.0000
  0.0351  1.0000
  0.0649  0.9670
  0.0177  1.0000
  0.0183  1.0000
  0.1016  0.8772
  0.0720  0.9578
  0.1193  0.8418
  0.0009  1.0000
  0.0205  1.0000
  0.0914  0.9308
  0.0429  1.0000
  0.0301  1.0000
  0.0415  1.0000
  0.0760  0.9653
  0.0088  1.0000
  0.0704  0.9623
  0.0458  1.0000
  0.0514  0.9890
  0.0872  0.9456
  0.0382  1.0000
  0.1097  0.8569
  0.0967  0.8778
  0.0766  0.9533
  0.0106  1.0000
  0.0631  0.9884
  0.1015  0.8975
  0.0681  0.9656
  0.0898  0.9346
  0.0114  1.0000
  0.1049  0.8614
  0.0838  0.9422
  0.0874  0.9342
  0.0366  1.0000
  0.0339  1.0000
  0.0402  1.0000
  0.0768  0.9336
  0.0474  1.0000
  0.0549  0.9890
  0.0129  1.0000
  0.0544  1.0000
  0.0308  1.0000
  0.0938  0.9328
  0.0807  0.9317
  0.1122  0.8338
  0.0267  1.0000
  0.0589  0.9874
  0.0044  1.0000
  0.0096  1.0000
  0.1135  0.8569
  0.0259  1.0000
  0.0038  1.0000
  0.0671  0.9693
  0.0287  1.0000
  0.0364  1.0000
  0.0786  0.9310
  0.0742  0.9613
  0.1231  0.8422
  0.0604  0.9854
  0.0612  0.9859
  0.0100  1.0000
  0.0330  1.0000
  0.0567  1.0000
  0.0393  1.0000
  0.1015  0.8558
  0.0442  1.0000
  0.0136  1.0000
  0.1011  0.8589
  0.0739  0.9669
  0.1104  0.8543
  0.0276  1.0000
  0.0278  1.0000
  0.0593  1.0000
  0.0204  1.0000
  0.0229  1.0000
  0.0236  1.0000
  0.0318  1.0000
  0.0665  0.9704
  0.1142  0.8437
  0.0141  1.0000
  0.0576  1.0000
  0.0512  1.0000
  0.0286  0.9985
  0.0936  0.9338

 Output data matrix of Pareto front of final Gaussian process model:
      f1      f2
 16.5787  1.1816
-21.7077  9.2414
 16.5787  1.1816
 -0.0005  5.7319
 15.7283  1.4014
 15.1944  1.4988
 12.7507  1.8519
  1.4208  4.6838
 11.0766  2.0812
 13.1978  1.7768
  4.0411  3.6202
 11.8482  1.9734
 16.2082  1.2822
  1.3108  4.7515
  0.0077  5.5802
  0.7705  5.1875
 10.5383  2.1757
  8.3302  2.5765
  3.7458  3.6918
 12.3982  1.9028
 12.2145  1.9270
  1.1250  4.9932
  3.1660  3.9274
  0.1599  5.4903
 16.4744  1.2143
 11.5406  2.0131
  1.7152  4.5220
  6.8949  2.8616
  9.1686  2.3839
  7.0708  2.8109
  2.6328  4.0246
 14.9440  1.5338
  3.3479  3.8691
  6.4350  2.9679
  5.6169  3.1858
  2.2058  4.3786
  7.6463  2.6906
  0.5206  5.2505
  1.3075  4.8692
  2.5256  4.0765
 14.3295  1.6108
  4.1860  3.5680
  1.2522  4.9037
  3.3695  3.7947
  1.9279  4.4751
 14.0672  1.6440
  0.9404  5.1378
  2.2522  4.3022
  1.9794  4.4165
  8.0079  2.6330
  8.5421  2.5298
  7.2620  2.7624
  2.3841  4.1360
  6.1609  3.0252
  5.1294  3.3035
 13.6211  1.7065
  5.3989  3.2656
  9.0234  2.4112
  1.5286  4.5744
  2.3232  4.2474
  0.2506  5.3985
 10.0529  2.2528
  4.5186  3.4366
 15.9280  1.3528
 14.6843  1.5670
  0.3420  5.3189
 10.2479  2.2236
 16.0163  1.3303
  3.5611  3.7525
  9.4909  2.3328
  8.0594  2.6247
  2.3770  4.1918
  2.9071  3.9806
  0.1187  5.5498
  4.3788  3.4886
  4.3003  3.5120
 14.5535  1.5832
  8.6717  2.4963
  5.0014  3.3395
  7.4093  2.7321
  1.0018  5.0784
  6.7034  2.9107
 13.4451  1.7345
  1.0952  5.0566
  2.9151  3.9610
  0.4061  5.2755
  9.8077  2.2878
  9.7531  2.2954
  4.7057  3.4225
 11.5755  2.0085
 10.9370  2.1048
 10.7702  2.1343
  8.8388  2.4526
  3.6648  3.7316
  0.3262  5.3893
 13.3221  1.7552
  4.8729  3.3677
  5.7741  3.1576
  9.5087  2.3304
  1.5315  4.5691

 Final hyperparameter values: 
  Hyperparameter      f1      f2
         lambda1  2.5127  4.0482
         lambda2  4.0263 11.5087
          sigmaf 70.2999  5.0449
          sigman  0.0985  0.0068
