[Bug report] Regression tests for BBOB-NOISY fail for 114 test cases

[olafmersmann]

gaussian_noise_model(BBOB-NOISY suite problem f104 instance 11 in 2D) id,x = (55, 1, (8.257310462448444, -6.914551277294648)) stored f(x),con(x) = (315619.6748016155, []) computed f(x) = 314709.3031713731
gaussian_noise_model(BBOB-NOISY suite problem f107 instance 2 in 2D) id,x = (91, 0, (7.872385206092966, -17.669978259807667)) stored f(x),con(x) = (17390.292524628876, []) computed f(x) = 2066.6342836008725
gaussian_noise_model(BBOB-NOISY suite problem f107 instance 3 in 2D) id,x = (92, 1, (7.037385309233333, -95.79341968443225)) stored f(x),con(x) = (829710.3423135641, []) computed f(x) = 14233.823123757898
gaussian_noise_model(BBOB-NOISY suite problem f110 instance 8 in 2D) id,x = (142, 0, (6.368911340560108, 1.928997179264793)) stored f(x),con(x) = (3881981.940356227, []) computed f(x) = 3881931.4396644514
uniform_noise_model(BBOB-NOISY suite problem f111 instance 15 in 2D) id,x = (164, 0, (3.622277584405984, 21.042221777041007)) stored f(x),con(x) = (104546.5860755601, []) computed f(x) = 80415.52029888732
uniform_noise_model(BBOB-NOISY suite problem f114 instance 13 in 2D) id,x = (207, 1, (-0.7920640871906042, 6.890956708127103)) stored f(x),con(x) = (86.39825127356897, []) computed f(x) = -82.07780511480962
cauchy_noise_model(BBOB-NOISY suite problem f115 instance 8 in 2D) id,x = (217, 1, (5.853105012007591, -0.7630315043625185)) stored f(x),con(x) = (1797.0100639145464, []) computed f(x) = 1809.5417489640581
gaussian_noise_model(BBOB-NOISY suite problem f119 instance 14 in 2D) id,x = (283, 1, (-49.836033857881354, -31.782710421664387)) stored f(x),con(x) = (272628.00576151325, []) computed f(x) = 7031.529225886483
cauchy_noise_model(BBOB-NOISY suite problem f121 instance 11 in 2D) id,x = (310, 0, (3.505115260812915, -5.824719638989086)) stored f(x),con(x) = (1027.1852258946012, []) computed f(x) = 1041.640941500081
uniform_noise_model(BBOB-NOISY suite problem f123 instance 6 in 2D) id,x = (335, 0, (-7.976530140093408, 8.389550784541141)) stored f(x),con(x) = (1844.2971074262095, []) computed f(x) = 446.0265803028692
cauchy_noise_model(BBOB-NOISY suite problem f124 instance 9 in 2D) id,x = (353, 1, (-7.923656968823929, -2.2981750515156563)) stored f(x),con(x) = (1934.2330545617126, []) computed f(x) = 1371.8217443088333
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 6 in 2D) id,x = (365, 1, (-27.041903839408455, 0.4381287975370561)) stored f(x),con(x) = (52595.64951012682, []) computed f(x) = 6215.287407494745
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 4 in 2D) id,x = (393, 0, (6.107846285031895, -2.3052229013219208)) stored f(x),con(x) = (1064.9576843436032, []) computed f(x) = 1053.0099737208957
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 11 in 2D) id,x = (400, 1, (15.161766594723561, -6.853505734357923)) stored f(x),con(x) = (11666.422403338976, []) computed f(x) = 2198.2512529533865
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 5 in 3D) id,x = (454, 1, (1.0653805615505432, 8.87436885302048, 10.966065780832556)) stored f(x),con(x) = (5261.940202485113, []) computed f(x) = 1185.5161748227765
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 6 in 3D) id,x = (455, 1, (23.753864339108645, -16.67195035431629, -4.589702143038638)) stored f(x),con(x) = (49425.42102667021, []) computed f(x) = 3673.8172236811843
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 10 in 3D) id,x = (459, 1, (-0.7045810339135952, -9.631570622572, 4.706644194801749)) stored f(x),con(x) = (2225.5931847193992, []) computed f(x) = 543.6056037894015
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 12 in 3D) id,x = (461, 1, (5.177578768681731, 15.193854552551713, 16.716567623545643)) stored f(x),con(x) = (25011.143929909096, []) computed f(x) = 3097.527850908626
gaussian_noise_model(BBOB-NOISY suite problem f104 instance 10 in 3D) id,x = (504, 1, (-18.336193297810876, -13.427934605884351, -3.752980249608402)) stored f(x),con(x) = (14916157.354252068, []) computed f(x) = 14893445.353702674
uniform_noise_model(BBOB-NOISY suite problem f105 instance 3 in 3D) id,x = (512, 0, (5.74028629254538, -79.91706999051556, -27.345697545006658)) stored f(x),con(x) = (3677837631.967144, []) computed f(x) = 3677236187.7126737
cauchy_noise_model(BBOB-NOISY suite problem f106 instance 8 in 3D) id,x = (532, 0, (-3.2359866843804337, 1.2645367863367174, -5.2333909083413905)) stored f(x),con(x) = (85965.54482804699, []) computed f(x) = 85983.43678727148
gaussian_noise_model(BBOB-NOISY suite problem f107 instance 1 in 3D) id,x = (540, 0, (-1.4833655077818262, -1.794621214960374, -11.227893071899567)) stored f(x),con(x) = (3981.2624689090367, []) computed f(x) = 725.3865645975309
gaussian_noise_model(BBOB-NOISY suite problem f110 instance 3 in 3D) id,x = (587, 0, (0.9402589938652073, -9.104517378501297, 7.529911074376542)) stored f(x),con(x) = (44222.313694838165, []) computed f(x) = 42561.00524465873
gaussian_noise_model(BBOB-NOISY suite problem f110 instance 11 in 3D) id,x = (595, 1, (6.986966931376481, -1.0686841793519066, 1.7434984473465573)) stored f(x),con(x) = (92016.93206908322, []) computed f(x) = 91820.8250035825
uniform_noise_model(BBOB-NOISY suite problem f111 instance 12 in 3D) id,x = (611, 1, (-2.3753678298030465, -5.322517973732547, 1.98625005871719)) stored f(x),con(x) = (738863.1328125998, []) computed f(x) = 738884.982825635
uniform_noise_model(BBOB-NOISY suite problem f114 instance 1 in 3D) id,x = (645, 1, (-8.209513515661722, -5.799429017292076, 5.180570970256783)) stored f(x),con(x) = (183886.7557957007, []) computed f(x) = 183208.44018240145
uniform_noise_model(BBOB-NOISY suite problem f117 instance 5 in 3D) id,x = (694, 1, (16.166245758599946, 3.766168243852513, -7.54953796636799)) stored f(x),con(x) = (736681.0849331982, []) computed f(x) = 724934.1444873547
cauchy_noise_model(BBOB-NOISY suite problem f121 instance 14 in 3D) id,x = (763, 0, (0.6526788477774693, -13.772362507941365, -10.847361652983833)) stored f(x),con(x) = (12403.100968897374, []) computed f(x) = 2750.4751578377786
cauchy_noise_model(BBOB-NOISY suite problem f124 instance 1 in 3D) id,x = (795, 1, (5.128320423855217, 0.6097701186207002, 2.1232368426676205)) stored f(x),con(x) = (997.8549595302643, []) computed f(x) = 1009.0403887979478
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 5 in 3D) id,x = (844, 1, (2.2536547443337396, -6.240458029913841, -4.243349021457884)) stored f(x),con(x) = (553.6541111521353, []) computed f(x) = 523.8263017457436
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 15 in 3D) id,x = (854, 0, (35.207134935199576, -50.23144149043793, -26.424333349561323)) stored f(x),con(x) = (566422.6642510962, []) computed f(x) = 234373.31925167717
gaussian_noise_model(BBOB-NOISY suite problem f128 instance 6 in 3D) id,x = (860, 1, (5.461179225992798, -0.2941222620333818, -3.0689925871308867)) stored f(x),con(x) = (1054.4874356048322, []) computed f(x) = 1079.3367303553803
uniform_noise_model(BBOB-NOISY suite problem f129 instance 1 in 3D) id,x = (870, 1, (-3.2469846024426543, -8.485538870654533, -3.0132125146044184)) stored f(x),con(x) = (5708.244248154561, []) computed f(x) = 4841.900013335645
uniform_noise_model(BBOB-NOISY suite problem f129 instance 14 in 3D) id,x = (883, 1, (1.8087591528554594, 1.1967551139089871, 7.79067356272842)) stored f(x),con(x) = (70254.14616911804, []) computed f(x) = 69754.42763201975
cauchy_noise_model(BBOB-NOISY suite problem f130 instance 8 in 3D) id,x = (892, 1, (1.4898622130444636, -5.779621821392966, -3.627684122715438)) stored f(x),con(x) = (657.2958550327326, []) computed f(x) = 674.4770187328207
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 3 in 5D) id,x = (902, 1, (-3.6459158511315763, 6.392744880294101, 1.9858697532379164, 0.967461313900833, 2.6087101433977207)) stored f(x),con(x) = (46.42728272121741, []) computed f(x) = -8.272059407915492
uniform_noise_model(BBOB-NOISY suite problem f102 instance 7 in 5D) id,x = (921, 1, (-10.587619299015502, -8.297815194133829, 7.448547580193477, -2.5456611394691686, 11.01498088334886)) stored f(x),con(x) = (7738.952039455692, []) computed f(x) = 1046.602858633459
uniform_noise_model(BBOB-NOISY suite problem f102 instance 8 in 5D) id,x = (922, 0, (1.004650198208204, -3.91177597242223, -6.682379612300142, -5.043997774735996, -4.5849780620785)) stored f(x),con(x) = (425.95034735750755, []) computed f(x) = 315.35438965463175
cauchy_noise_model(BBOB-NOISY suite problem f103 instance 1 in 5D) id,x = (930, 1, (5.846583151284737, 0.27918235446695716, -2.310973258417253, 3.4630202544945115, -0.9989228907119342)) stored f(x),con(x) = (202.2111550201584, []) computed f(x) = 215.19916694471254
cauchy_noise_model(BBOB-NOISY suite problem f103 instance 11 in 5D) id,x = (940, 0, (5.196810963162506, 0.6758593942211654, -2.1007684109173588, -7.926445259747875, 5.87177177035345)) stored f(x),con(x) = (1272.752686090719, []) computed f(x) = 735.9752421064072
uniform_noise_model(BBOB-NOISY suite problem f105 instance 5 in 5D) id,x = (964, 0, (10.245698218537136, -3.2383167117175966, -1.5828333557334384, -1.2875329312039225, 0.9915452318807377)) stored f(x),con(x) = (606935.1055955975, []) computed f(x) = 604707.9404374548
uniform_noise_model(BBOB-NOISY suite problem f105 instance 7 in 5D) id,x = (966, 1, (-52.18978732481673, -194.45335299677785, 54.18116383567368, 118.83486997252288, -65.08019508720554)) stored f(x),con(x) = (157693040737.93774, []) computed f(x) = 157687376087.54175
uniform_noise_model(BBOB-NOISY suite problem f105 instance 13 in 5D) id,x = (972, 0, (5.503582941768982, 0.2567397301347814, 2.031672161240667, 6.173220483977705, 1.1838166569828488)) stored f(x),con(x) = (1014537.682797583, []) computed f(x) = 1014542.3589318312
uniform_noise_model(BBOB-NOISY suite problem f108 instance 3 in 5D) id,x = (1007, 1, (21.06175528392644, 7.875076212356083, -9.64059472425788, -11.095340834714817, -5.239415833836496)) stored f(x),con(x) = (174986.2254924519, []) computed f(x) = 145478.27725583722
uniform_noise_model(BBOB-NOISY suite problem f111 instance 1 in 5D) id,x = (1050, 0, (-7.3508522963970835, 1.5657060687667488, 0.7183845552491992, -0.3110512607855574, -1.121583631479061)) stored f(x),con(x) = (10801607.57072419, []) computed f(x) = 10801290.005301882
gaussian_noise_model(BBOB-NOISY suite problem f116 instance 6 in 5D) id,x = (1130, 1, (3.6215895507323776, 3.7268639951110902, 1.9271072435515677, -8.650201301481898, 5.529350529215763)) stored f(x),con(x) = (87088.80219339354, []) computed f(x) = 86146.33922405119
gaussian_noise_model(BBOB-NOISY suite problem f116 instance 10 in 5D) id,x = (1134, 0, (-2.4475723362825903, -0.6949463231786305, -6.632882052588225, -1.0784809375262592, 0.3546854795001381)) stored f(x),con(x) = (107554.52599094463, []) computed f(x) = 107451.183816437
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 7 in 5D) id,x = (1161, 1, (-2.9117827334310844, -5.274135150619682, -10.751514307725543, 0.5571136624976194, 5.329953837684671)) stored f(x),con(x) = (147565.47064337856, []) computed f(x) = 144874.6373282036
uniform_noise_model(BBOB-NOISY suite problem f120 instance 6 in 5D) id,x = (1190, 1, (4.3480501197264525, 0.627898393472822, 10.559468213931229, 0.025809246332954554, 2.7782070878942378)) stored f(x),con(x) = (27792.178013123634, []) computed f(x) = 25257.356152345594
gaussian_noise_model(BBOB-NOISY suite problem f122 instance 11 in 5D) id,x = (1225, 1, (-0.2051082113384828, -3.3077138668522528, -0.605755999008695, -4.947019044951496, -7.00110042521638)) stored f(x),con(x) = (745.740488023229, []) computed f(x) = 545.4102393647493
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 9 in 5D) id,x = (1268, 1, (-1.5642883460415589, 3.5212248428240898, 7.3877834420054125, -9.980411529940056, -0.8277866883908372)) stored f(x),con(x) = (3033.9223937808138, []) computed f(x) = 720.1410136278537
gaussian_noise_model(BBOB-NOISY suite problem f128 instance 1 in 5D) id,x = (1305, 0, (273.7825360422649, 71.82028898225104, -255.45105461092092, 76.58178443203602, -69.39842236538475)) stored f(x),con(x) = (14870721.58742775, []) computed f(x) = 72340.7838379934
uniform_noise_model(BBOB-NOISY suite problem f129 instance 5 in 5D) id,x = (1324, 1, (-6.286545155503917, 1.9833499281175306, -0.35722296385106833, -8.88315439064511, 6.830348644299969)) stored f(x),con(x) = (2958.4178782137014, []) computed f(x) = 1649.9964354158278
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 5 in 10D) id,x = (1354, 1, (-1.1049774713150862, -0.3345059217583481, -4.089516007400839, 3.873927804913634, 3.9099753577068608, -5.274775004229422, 0.9298824625533716, -1.5696675086995884, -2.9519530351096472, 1.0131300046354912)) stored f(x),con(x) = (122.32380973261931, []) computed f(x) = 142.2511798606336
cauchy_noise_model(BBOB-NOISY suite problem f103 instance 8 in 10D) id,x = (1387, 1, (0.2799599583694039, 0.5553992437376799, -2.068812862631266, 1.3192009535620828, 0.18817259481706375, -6.071077021629949, 0.6734125924048282, -1.949964920876446, 1.5183177796582925, 0.5769004256907634)) stored f(x),con(x) = (180.38173466591354, []) computed f(x) = 172.76883820254017
gaussian_noise_model(BBOB-NOISY suite problem f104 instance 3 in 10D) id,x = (1397, 0, (-18.24862275324349, -8.33901977769388, -50.46843801919859, 157.3568485431541, -66.29804346358948, 40.47973995797985, 16.389546334064665, -77.44563756416748, 112.21319236363196, -94.05933062512155)) stored f(x),con(x) = (90262075875.32526, []) computed f(x) = 90256606280.12242
uniform_noise_model(BBOB-NOISY suite problem f105 instance 14 in 10D) id,x = (1423, 0, (-12.351867081604846, -2.594332927872128, 2.5366216235387933, 1.8002907733092455, 3.508217497118943, -5.9014741304013105, 0.012914398001982436, 7.718245729975076, -1.4367919186996347, 1.507692687991445)) stored f(x),con(x) = (1693588.4698588774, []) computed f(x) = 1688460.482048886
cauchy_noise_model(BBOB-NOISY suite problem f106 instance 10 in 10D) id,x = (1434, 0, (64.91670734071877, 42.637253320307124, 1.4803925092023158, 67.73990924301785, 27.9106418889958, 28.108112102749097, -75.94654243632986, -132.21122901788, -64.01669312769384, 34.19757282942296)) stored f(x),con(x) = (36056881359.7332, []) computed f(x) = 36053375295.176994
gaussian_noise_model(BBOB-NOISY suite problem f107 instance 13 in 10D) id,x = (1452, 0, (-4.183510460491438, -2.249855233795626, 0.742881701355194, -3.7456229515782353, -2.1133948133052947, 4.904063023692876, 3.2475181826713713, -0.5731810313790591, -2.288981045575627, 7.136145401229134)) stored f(x),con(x) = (440.63731852279767, []) computed f(x) = 197.9401411264732
gaussian_noise_model(BBOB-NOISY suite problem f113 instance 4 in 10D) id,x = (1533, 1, (-1.70525791847982, -6.4927191383185825, -1.3606573681217073, 0.8922899463166339, 0.14770826798896017, -5.87042880265829, 2.864452354562284, 1.6985343064447354, 1.9416873543668796, 3.445812469704217)) stored f(x),con(x) = (2218.5211435719266, []) computed f(x) = 2156.2502650296415
cauchy_noise_model(BBOB-NOISY suite problem f115 instance 3 in 10D) id,x = (1562, 0, (-2.613922798053453, 1.2741072922073315, -1.1332985121779575, -1.8497307300629378, -5.00168949868716, -2.068345507183899, 3.0317819011620775, -1.140367870162895, -0.9817916757254926, -0.6959571306848968)) stored f(x),con(x) = (1769.326002690087, []) computed f(x) = 1769.494667118222
cauchy_noise_model(BBOB-NOISY suite problem f115 instance 4 in 10D) id,x = (1563, 0, (0.0963531794503311, 5.330147147501348, 3.222666124090188, -1.7549029754763081, -3.2827784134712696, 4.48431519886286, -1.4349313225095184, 4.031865036796062, -5.374554596114036, -0.6312272943237196)) stored f(x),con(x) = (2593.429943274025, []) computed f(x) = 2638.97128918822
cauchy_noise_model(BBOB-NOISY suite problem f115 instance 14 in 10D) id,x = (1573, 1, (7.551283901441754, 5.026651216240133, 0.8331709278651088, -3.5246796866466044, -2.6445338055813656, 16.366661761878618, 1.3274659956368386, -2.147097010879414, 5.963318922171556, 0.0037399811858326772)) stored f(x),con(x) = (24962.61021844632, []) computed f(x) = 12789.527519834504
gaussian_noise_model(BBOB-NOISY suite problem f116 instance 2 in 10D) id,x = (1576, 1, (1.539289184777447, -7.893337887857546, -1.4211783082882605, -1.8965452874819313, -4.45299267791714, -2.6624039088141616, 1.6305330356552594, 7.281230766522408, 3.2819659719084253, -0.05080247186600453)) stored f(x),con(x) = (547381.7000335432, []) computed f(x) = 546541.6151046371
gaussian_noise_model(BBOB-NOISY suite problem f116 instance 14 in 10D) id,x = (1588, 1, (5.955328338749173, -0.9598074539641906, 0.028220075845644618, -0.8840468131592912, -3.38349740810316, -3.4388823494776353, 0.027415997171303094, -2.7359528893650635, 0.6483412925777303, -3.3187673182994137)) stored f(x),con(x) = (5717.376741200854, []) computed f(x) = 5721.644351594046
uniform_noise_model(BBOB-NOISY suite problem f117 instance 6 in 10D) id,x = (1595, 0, (2.865650595317899, -5.831125222638098, 0.8260162473883252, 2.214118560261847, -4.001905587374713, -3.5289635984164804, 1.300254845647534, -9.726696450285914, -4.804622215825319, -0.10129394303366895)) stored f(x),con(x) = (3850048.867319331, []) computed f(x) = 3848301.406639738
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 1 in 10D) id,x = (1605, 0, (3.0062289274581406, -8.48627601688872, -14.524449379795863, -10.17914727073175, -4.446198039918985, 1.6910097706823444, -9.282146112823007, -9.217352673629529, -3.6155074784527015, 2.685559248056325)) stored f(x),con(x) = (899007.2536843092, []) computed f(x) = 885094.624648547
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 1 in 10D) id,x = (1605, 1, (-0.4655860255602939, -3.9351223752540396, -1.6854221863062442, -6.033993807727047, 5.6195391575669875, -8.028357594881452, -6.86395514996169, -1.190492517810933, 0.36235625044198877, -5.131444247901236)) stored f(x),con(x) = (651586.1016923827, []) computed f(x) = 650842.2778805839
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 4 in 10D) id,x = (1608, 1, (-5.897922745212695, 6.956357400257295, 3.24946328113925, 1.5754539184665883, -4.120291589494225, 2.092481661183368, -6.816759930380237, 0.005025596439613507, 3.1015988886773416, -12.050417105617532)) stored f(x),con(x) = (1882084.9986000594, []) computed f(x) = 1877492.8845640314
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 9 in 10D) id,x = (1613, 1, (-27.835452865080796, -0.3323225524980326, 18.673023236618523, 7.565582062532387, 20.171684748619217, -16.77753313910633, -46.34466904867662, -44.34488428136834, 62.145633271695786, -7.355169528684967)) stored f(x),con(x) = (6419878.817786104, []) computed f(x) = 5679254.80183963
cauchy_noise_model(BBOB-NOISY suite problem f121 instance 10 in 10D) id,x = (1659, 0, (6.107511690680921, -0.41742944061564463, -2.7046865425184787, 6.270983639468539, -1.6243321309275882, -2.8917046940714255, 1.9751052760277021, -1.5273826788502385, 0.9951868433582536, 0.9234549692496964)) stored f(x),con(x) = (2486.722014374516, []) computed f(x) = 2440.3733917103013
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 1 in 10D) id,x = (1710, 1, (4.897059163228435, 1.4551749840647117, -4.497677883138964, 7.174712139172561, 5.977284616907247, -1.7985681555017086, -2.306973235330684, 2.7654657462236045, 3.9707687439282005, 2.546172567331631)) stored f(x),con(x) = (611.968085656148, []) computed f(x) = 358.7219501935518
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 2 in 10D) id,x = (1711, 1, (-3.2348059031689913, -5.829536247940983, 1.170123799097424, -3.1044245763537717, -0.6694862194346494, 5.145113007350248, 2.3836542490712813, -3.368141880656444, 4.720042938677358, -0.989990273710795)) stored f(x),con(x) = (144.43861403815032, []) computed f(x) = 170.9847224122497
cauchy_noise_model(BBOB-NOISY suite problem f130 instance 8 in 10D) id,x = (1792, 0, (0.08360780282066108, -1.4118743101331568, -2.333425564520379, -1.9378398927103524, 3.5220228916081955, -1.4649526962746895, 5.218208678732213, 2.1689973336594854, 0.9555809470631955, 2.559974430329104)) stored f(x),con(x) = (609.9136400230426, []) computed f(x) = 626.9730051488582
uniform_noise_model(BBOB-NOISY suite problem f102 instance 5 in 20D) id,x = (1819, 1, (1.784415482207963, -2.08593796524671, 4.218680020268801, 1.1264064550581652, 1.7313561668612398, -0.7131187511688082, 4.480659712822423, -3.0618245239705932, -0.32202863098502754, 3.7161425448311984, 6.386158943256777, 5.727068569967746, -4.829793703738368, 4.303153685280698, -6.7645574290718935, -7.036607264548478, -10.20317966222793, -0.055612342354085124, 1.2835766057725542, -1.458619426751417)) stored f(x),con(x) = (4101.680487201373, []) computed f(x) = 1534.9800751754074
uniform_noise_model(BBOB-NOISY suite problem f102 instance 10 in 20D) id,x = (1824, 1, (-1.8894418012640066, 0.18386712137005543, -2.8087660566645116, -4.74533532667179, -3.2769703647397947, -0.8070029837789326, -1.421855572557412, 8.481792199874052, -1.3113672444865112, 0.5827441635000246, 0.6421627421423383, 4.14030191992398, 2.8828031288393743, 4.082834051983755, -0.793766835213086, -1.920365657342777, 0.7453874694058803, 2.44275479341388, 3.0513790392402127, 2.2067394628447876)) stored f(x),con(x) = (1490.418438913167, []) computed f(x) = 626.309966590193
cauchy_noise_model(BBOB-NOISY suite problem f106 instance 8 in 20D) id,x = (1882, 1, (3.86989406338305, -2.70511510626357, 4.2109437308492685, -11.000669214785265, 9.163397731280112, -4.698025042757948, 13.191761474734164, 8.198410794629554, -5.176672058215121, 21.11817650203412, -5.95864828221768, 11.012026857047909, 17.09307260794447, -14.4035739233433, 3.1793977784296703, -11.361435624274906, 7.35488664839453, -0.8076792299966362, -7.904103029626789, -8.204849320705394)) stored f(x),con(x) = (52181902.89042559, []) computed f(x) = 52117321.57531987
uniform_noise_model(BBOB-NOISY suite problem f111 instance 1 in 20D) id,x = (1950, 0, (3.28576567727775, 11.183677923360541, 22.07344930976701, 7.130179324636245, 2.986140768070027, -8.370685010332195, -16.17662937143178, -17.98315965500458, 16.886000371354154, 3.70219857315319, -12.671576657006437, 9.505082248615034, 10.283618973497289, -0.2801259526936334, -6.851573025967718, 6.557236795470477, -15.97655387836223, 3.251553857100211, -3.83414607986759, -20.867643604586014)) stored f(x),con(x) = (35458333.1958936, []) computed f(x) = 35343026.71744943
uniform_noise_model(BBOB-NOISY suite problem f111 instance 11 in 20D) id,x = (1960, 0, (-1.1775835868888835, -1.3679455643846978, -4.7897956479183685, 0.6707900321786461, -1.0956415132527837, 0.14684550397024498, 2.1013936964133926, 2.4264984699124836, 7.589237354317148, 6.448304504891057, -5.205119283569307, 0.44443590679433853, -4.695277498920985, -5.797968985347135, -4.601396044786006, -8.17250206045684, 1.6643831472944821, 4.898609492416567, -3.1264591879957133, -5.590916911092498)) stored f(x),con(x) = (11432819.546839904, []) computed f(x) = 11431710.500094134
cauchy_noise_model(BBOB-NOISY suite problem f112 instance 13 in 20D) id,x = (1977, 1, (-1.0258042321776186, 1.0048010826898524, -6.009960639429603, -2.9218794836424613, -0.16496092588458305, -3.7172259112853903, -0.9996883958242677, 1.0912185834562476, -2.152556337699467, -2.0224018941363884, 5.452693267406924, -3.0283732312395237, 0.5274406542229567, 3.283536088921827, 1.124359375989657, -3.9316802987667425, 1.4611949234826493, -0.8365613954058794, -3.4353039785519646, 0.20312220053095797)) stored f(x),con(x) = (398394.99509880104, []) computed f(x) = 398418.76532072946
uniform_noise_model(BBOB-NOISY suite problem f114 instance 5 in 20D) id,x = (1999, 0, (9.050825824075634, -15.185724219172622, 9.485606699625984, 13.739001791033916, 12.970752244792356, 10.356918975065911, 1.0871436462799078, -7.9541924385157765, 1.3958416477757105, 6.628081160356127, 14.113164055630847, 10.08514114273888, 14.450859956137842, -18.646524830361106, 6.779081893119132, 9.341603343333121, -14.02691938286636, -8.348323415284307, -21.321965818313327, 5.069082442003037)) stored f(x),con(x) = (2056629.3414544137, []) computed f(x) = 1959801.3474029375
uniform_noise_model(BBOB-NOISY suite problem f114 instance 15 in 20D) id,x = (2009, 1, (-4.393583626185231, -0.599884381353449, -1.3361011529053806, 5.189570038919114, -0.2957678582857964, 1.700438650953208, -4.15472659542095, -0.666237784141601, -2.1658263912174096, 5.138634907471153, -7.493558747886732, -4.053227556880038, 4.230086569455717, 1.8569437339470525, 0.6466902292068306, 1.8427041817081962, -2.950046541704714, -6.19812286314711, -3.2472897409115653, 2.5793314534293725)) stored f(x),con(x) = (86322.84410832598, []) computed f(x) = 85953.9837579099
uniform_noise_model(BBOB-NOISY suite problem f117 instance 11 in 20D) id,x = (2050, 1, (-7.5635160569724205, -0.4936634181624684, 11.277360089672298, 3.473123303414965, 2.0872923019924947, 0.23533557203935818, 17.419948730161398, 5.096815260581158, 8.817783704746962, -7.007727578515669, 3.071564361766206, 12.819643149074269, 1.074658325697453, 3.47270459281199, 2.860869268807985, 10.897552867226105, 1.5047391348763814, -1.0814764791710616, 10.080479891405288, -8.659872950139032)) stored f(x),con(x) = (284398.258704223, []) computed f(x) = 253964.15862119562
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 2 in 20D) id,x = (2056, 0, (1.9884782281156153, -2.3342488645333126, -2.489000255451921, -2.9673378138299364, 0.056848462360679294, -6.2414242717605095, -4.170372390498087, -0.06983932781069148, 0.5841583170096643, -1.612545933820675, -3.481128720114735, 0.1554833085644347, 0.21016637899247723, 0.09364306966069162, 5.859707912274449, -1.9992132039684247, -2.074895893526887, -0.39451841525269293, 4.851577075922713, -0.836375973897924)) stored f(x),con(x) = (230911.4974526013, []) computed f(x) = 230893.58747931052
cauchy_noise_model(BBOB-NOISY suite problem f118 instance 12 in 20D) id,x = (2066, 0, (-4.093689756451171, -1.7180093340944138, -2.454438387136845, -0.0910072582206323, -2.5479540801868743, -2.191184857670751, -1.0972773464070278, -2.831514409792405, 0.9024251067407908, -1.00318897226068, 1.8303976845834267, 2.9616450224364788, 6.060896099213426, -5.04530632823383, 5.0632862511372805, 2.371984561874935, 2.9492677563511354, 2.8382870669273372, 2.7674104747902812, -3.184384602793392)) stored f(x),con(x) = (123702.23360128212, []) computed f(x) = 123706.0266345118
gaussian_noise_model(BBOB-NOISY suite problem f119 instance 2 in 20D) id,x = (2071, 1, (-1.074992643949597, 3.8548166958247134, -0.6843850180900475, -2.580011641954566, -6.871852989644665, 3.5925628913076464, -5.718394569334073, -3.186472164490313, 3.038923696324516, -2.2773322683119943, 0.5974401918180782, 4.243339016438435, 2.0805870474214267, 5.742998537472818, 2.008748049852762, 0.5731642953022066, 0.09339764379308328, 4.110420776941118, -0.5072345292557745, -0.11755727934998397)) stored f(x),con(x) = (528.6134841992492, []) computed f(x) = 404.74097396669384
gaussian_noise_model(BBOB-NOISY suite problem f119 instance 6 in 20D) id,x = (2075, 0, (0.743646662794263, -9.59922768217543, 4.4351648767131415, 5.187377680920368, -14.726990611921025, 10.47112715429423, 11.439738252880879, -6.152534191896945, -2.222738481838766, 4.904856530366479, -8.859009439053514, -0.8543418613606851, 3.9802884450805016, 5.3686938968407, -20.173967027329073, -3.011816020263038, -6.587796902746758, -16.546179537316785, 3.7531927476664215, 2.6741435509255798)) stored f(x),con(x) = (57614.64788523621, []) computed f(x) = 6661.2447730910935
gaussian_noise_model(BBOB-NOISY suite problem f119 instance 10 in 20D) id,x = (2079, 1, (-0.48898822443437856, -0.619720384799144, 1.4952941134193973, 5.175227579838321, -5.393325401288944, -10.993844357822674, 7.452953534668838, 5.878939972804699, 6.1319537064956355, 4.1624757474684495, 10.663535896840573, 9.781552641155455, 15.682235828300142, 12.883088371007574, 6.768631460911611, 12.857380871031765, -7.72179102174676, -6.374864096985521, 3.365259957144868, 1.5605805702586317)) stored f(x),con(x) = (38947.05983805836, []) computed f(x) = 9369.048952725694
uniform_noise_model(BBOB-NOISY suite problem f120 instance 13 in 20D) id,x = (2097, 1, (16.498314596945935, 6.699853944620529, -11.946398502981943, 5.733989045348936, -30.49400579126064, 3.674405485009347, -1.2980799520327118, -25.90088585774518, -30.994896292266333, -19.089199333761538, -6.54391921631776, -20.70275831146209, 0.507740309604146, 28.300951791674265, -15.612518671763114, 7.536554620885922, 9.478739080988307, 13.496785232545939, 16.877997858113396, -11.212143127193228)) stored f(x),con(x) = (637894.4862275578, []) computed f(x) = 324325.496760212
cauchy_noise_model(BBOB-NOISY suite problem f121 instance 5 in 20D) id,x = (2104, 1, (-0.44603648892632525, -0.026086283380659932, 1.8040549888347364, -0.11791912997540474, -0.8893269009588295, 1.1799357844466443, -0.51101792716185, 4.291427173632712, 0.6876711638280226, 4.628541279962061, -2.2441070247342414, -2.1345811037608513, -3.684276102807375, -3.5020480697528926, -0.7960005131423673, 2.2455269242923226, 0.9282374454690316, 4.317309550579176, -1.5982187233864333, -5.2129729077496725)) stored f(x),con(x) = (1224.3003660623026, []) computed f(x) = 1241.0619108937349
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 2 in 20D) id,x = (2161, 0, (6.298590831502883, -4.382653292550866, 0.7465956850319256, 1.0831088126136064, -1.2645346902865076, -1.251374354506095, 0.5621908568451661, 3.5807136704768228, -3.2724386906924523, -0.8177253681814118, 0.5418332879404348, 5.213075011640434, 0.44035810696955396, 0.39268484535232256, 2.8979626640941505, -3.739778919874526, 5.42269494851666, -2.4237523413462667, -2.9519575356358, -3.4522951321968285)) stored f(x),con(x) = (265.05938874322476, []) computed f(x) = 267.4544551341742
gaussian_noise_model(BBOB-NOISY suite problem f125 instance 5 in 20D) id,x = (2164, 0, (-0.6726268228635792, -4.9163037745888625, -9.626462159524118, 5.232503509143593, -4.294857426986206, -1.9219266654797178, 6.355536905135221, 14.295528703349335, 1.3960289519746751, 5.4954006674525235, -3.6309216002565514, 0.21308836216675292, 3.2374534146324145, -5.548511149186183, 3.4513932029587915, 0.7248666287746816, -0.6598543238152762, 5.063661970629557, 8.4461549448101, 7.110797998543833)) stored f(x),con(x) = (12194.141357071921, []) computed f(x) = 1753.1636164353938
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 1 in 20D) id,x = (2190, 1, (0.14485362408245273, 0.0033362849324487178, 0.5108722880132454, -1.512195168978784, -2.061304804288769, -3.066600903438914, 4.109928198164084, -4.808812943863896, 4.033414055132522, -3.038469112689345, 1.2686918643355853, 0.8859298049639018, 2.137229399169844, -0.37021197290214225, -0.38377718953181267, 7.109195291409291, -1.5914607503959153, -2.6584379430452225, -0.6660347884302763, 3.1628610972092015)) stored f(x),con(x) = (1346.9333773968096, []) computed f(x) = 1112.9824288074149
gaussian_noise_model(BBOB-NOISY suite problem f101 instance 8 in 40D) id,x = (2257, 1, (-0.2282663067169623, -4.888541404079596, 1.603882761912065, 5.838774468821542, -2.194456926381221, 0.883045914219805, -4.9573472334985, 5.257781665602591, 6.819352711615233, -0.9332792611115245, -0.5246801235373532, -3.079928978255347, -3.9411189437822047, -0.09191336867187286, 2.7439071070968413, 4.270494222380744, 0.9677926001460141, 0.7477869441738507, -1.7209950797143219, 0.22301481241799956, 3.8350319777371897, 4.8690447542945865, -2.1336456303603444, -3.1204593284401225, -1.1973316796630922, 0.3302235524197058, -2.8253044834171943, -4.339564098619625, 2.876496476722854, 1.0255919291781272, -2.530119966236905, 0.6086710420200163, -2.2341109464394466, 0.9055465314157516, -2.572223261894854, -5.513335766550761, -3.2291359555167447, 0.8344085008473969, 3.029973722416856, -6.771329287470609)) stored f(x),con(x) = (1370.1013476177852, []) computed f(x) = 1142.0428036437788
uniform_noise_model(BBOB-NOISY suite problem f102 instance 1 in 40D) id,x = (2265, 1, (2.8197385861810607, 0.4337293215527804, 2.748353881224716, -0.40628749501914735, 0.2544844394322356, -5.581465427725599, 5.781569177833808, 1.118224818106925, -14.592289946037793, -12.005994461139604, -8.50423645468006, -11.307484123177419, 14.288856406668522, 7.414862699829932, -1.9236460101250268, 5.1802530159354365, 2.353962780143735, -9.420533093281346, -0.9332323145271021, -11.044516031845605, 6.250664176785298, -6.1719490697378685, 13.864135940880649, 12.369861735715798, -3.7985087947025655, 3.9815613968741967, -3.56290958305581, -10.581724413941116, -21.01858959952838, -15.860202966548549, -14.059898793138045, -24.57141719205788, 13.032181773690546, 0.13234945321115582, -13.709428203975945, -9.187881722234778, 0.6562914111058251, -10.161122816543893, -1.4825505832535606, -4.000843950501294)) stored f(x),con(x) = (157533.11220323428, []) computed f(x) = 19777.10567853044
uniform_noise_model(BBOB-NOISY suite problem f102 instance 12 in 40D) id,x = (2276, 0, (6.425072918608427, 1.1928815758005282, 0.15595441748731464, -11.286274261457576, 1.61115432892817, 4.232323581892238, 1.5346286856435267, -11.209938152541415, 6.368098147864878, 3.4440073577108317, 9.888638298013833, -1.4013700546547638, -3.2255117664920965, -2.2479406064281746, 0.10235758727876072, -3.344527716876688, -0.7510955973167096, 1.8164858560842974, -3.5856712552704817, 6.23609724461437, 2.4388951963041055, 3.8662535680451593, 12.448795222318925, -1.2941620387658173, 7.971658943204033, -7.522971851566482, 6.311427915446134, -2.618626662329514, 0.768419235426478, -12.24218894880421, -0.5957322565844119, -7.999341945247389, -0.22984933323165527, 2.2366323215383157, 8.592459363154088, 4.3923388741903535, 2.515677093326904, -2.356127260255002, -6.224045045470447, 1.6939352368170317)) stored f(x),con(x) = (27630.22400530993, []) computed f(x) = 7136.948548633438
cauchy_noise_model(BBOB-NOISY suite problem f103 instance 15 in 40D) id,x = (2294, 0, (2.831902197885716, -0.07235329377105844, -2.3033704985429027, 1.6030695097980534, -0.6309251284769058, 1.5943700436830663, -1.2967316562049807, 4.032146968357394, 2.126775530844932, -3.936553207036961, -2.415227329202949, -0.9273336967063739, -0.7108026273617971, 4.973515127165603, -2.6137511146887933, -0.30929016811137866, 4.42706589676237, 2.105755210407683, 0.82607978023475, -0.47974480049699153, 2.2472732174374435, -2.0380021098184073, -5.20080091569797, 0.27996552868131463, 2.41130717776901, 1.0019534107488974, -3.1783030835466435, -1.464364319182724, -0.305144561779211, 1.95574540543242, -0.9380377005798913, -0.7316036145861995, 0.03455457861346729, 2.2832554475618827, 1.2371324858699408, 3.0602915710191514, 1.1579198751193776, 0.03315245960328486, 4.2618888521221745, 1.4057361318877586)) stored f(x),con(x) = (759.2337492563712, []) computed f(x) = 775.2817400516539
cauchy_noise_model(BBOB-NOISY suite problem f106 instance 11 in 40D) id,x = (2335, 1, (13.096145890727719, -4.986388924376112, -3.396951874125248, -10.209211066934824, -4.619309751671368, 16.219432461837755, 11.133035138979556, 27.67759216720756, -6.539998984039417, 3.519783130409897, -4.452226661411934, 23.355723641782927, 0.20881377425334136, -1.018368700373461, 17.771707203068335, 19.743145114118473, 20.224064570057283, -6.917607308627581, -9.934524496087182, -0.21602109797303473, 15.113352128777452, 10.173120614140965, 21.771788142045395, 9.585878757915722, 2.482186418943614, 0.6720781544562576, -17.57042570200073, -16.005937881442357, -10.242718820208134, -0.8560077024477355, 0.22689694019499046, 6.085320208624655, 29.851852164127948, 7.013082828089622, 21.307822007196258, 10.200710851895828, -19.40305707303475, -18.401961578489896, 11.650734838822828, 1.2576840610057067)) stored f(x),con(x) = (400669799.4065319, []) computed f(x) = 400313504.0742868
uniform_noise_model(BBOB-NOISY suite problem f108 instance 11 in 40D) id,x = (2365, 1, (1.8867703059817351, 0.9982644744875326, -1.259136299626774, -2.211772180430179, -0.07440778546441176, 4.364501724415623, 6.713242755373095, -0.29857716474505935, -5.512807100622131, 2.616887999712616, 3.013926812481153, 4.234145529090664, 3.1940982340556343, 1.8625197117162775, 0.15879546959856927, -0.5487086782713285, -1.9475176671984455, 1.9500634720246792, -3.0298577032533904, -4.844053147966492, -1.7604403245035187, -1.1140981488354968, 0.3016574904535239, 0.672726791645497, 1.1851875227135866, 2.856673878755118, -4.174981758775055, 1.0239516703720628, -3.213833557552013, 3.616838065777777, -2.3776056503406826, -0.0399665641756549, 3.163076384759835, -1.6035951169582447, -1.552999810542255, 7.586721495397529, 0.4530677784686042, 2.4693269862719673, -0.05223203376501328, 2.856488491452774)) stored f(x),con(x) = (6057.340163727777, []) computed f(x) = 5549.687303263203
cauchy_noise_model(BBOB-NOISY suite problem f112 instance 3 in 40D) id,x = (2417, 1, (7.537553437814652, 25.265701789291, -22.553097889468763, 3.485556738399625, 10.579216963966973, -30.548955769595757, 39.777665162972575, -16.444640404719376, 28.907384615874925, 12.8586673888341, -2.61829168767129, 55.73068669280745, -9.24179174141728, -2.097828029057654, 54.788533728096176, -17.298904628495002, 31.045259732766294, -17.313118459868235, 36.011442607680785, 15.062315137066703, 1.6068886064471828, -5.7131335075084655, 15.146287359951753, 57.624598050455496, 30.744374660602052, -27.620123149976532, -3.5332541934577066, 22.37366633425408, -11.82866468926157, 17.161548759017258, -15.693470781772778, -4.942666572571016, 27.858850058386, 7.7983706476347265, -17.87831445561935, -55.541125053960734, -33.41705921099437, 14.136648574604449, -46.777900730039384, -6.987528597162649)) stored f(x),con(x) = (5851259635.117766, []) computed f(x) = 5849222507.926511
cauchy_noise_model(BBOB-NOISY suite problem f112 instance 5 in 40D) id,x = (2419, 1, (2.2216762422180354, 0.7513546260486577, -1.2760623025427966, 2.8167884340792786, -3.869385908510535, -2.4710852598831443, -5.245470066083121, -0.13340128268000892, 3.2680046521972415, -6.707592119071059, -3.398574395234264, 1.8243615543317537, -1.4839033680790248, 0.2743060734128827, 0.45490049199771115, 1.523606704280925, 2.1820169349211342, -2.9590051222081213, -3.1779221950663312, -1.4565892843067756, -0.16167464787443117, 0.2941305530356701, 0.9305885026955872, 0.8153247435557679, -0.27070201073695704, -4.766416581751538, 2.9302655018205486, 4.43536623266517, -4.770773173221978, 0.7250592062025955, 0.5732475857333484, -1.4589805915820222, -1.4619915154179097, -3.8946925088452007, -1.9990192409833984, -1.0769857040710844, -0.9643540481901028, 2.8895888935962915, 2.5896264102480226, 2.367573563439981)) stored f(x),con(x) = (954012.0201729931, []) computed f(x) = 953909.7137516628
cauchy_noise_model(BBOB-NOISY suite problem f112 instance 12 in 40D) id,x = (2426, 1, (-1.5406637713863907, 2.319218092178184, 3.3235301343028256, -2.645636750201366, 1.5171663269217708, -1.7013309759972304, 2.467652865887737, -1.4653132961123765, 3.023934515111559, 2.4468501539982217, -2.6347403431255203, -3.2394178146769237, -0.0022853332742535735, 1.9641127213108445, 6.72005356285195, 3.9682450699543534, 6.178013485599514, -2.14463005155371, -0.29648922054057936, -3.183922417598102, 0.5381892653911349, -2.9268143073254334, -4.237085795232133, -2.132248457943254, 5.364130401118488, 7.31188329181936, 2.7921689024432004, 1.904271955414303, -4.2875163467467985, -1.521614003444851, -4.546016243998357, 4.552102488678535, 6.69568813317512, 3.442079125485077, 2.579855511403828, 0.05527995915727752, 2.662096808649004, -4.79435287934847, 1.5909701142009596, 5.103714594998133)) stored f(x),con(x) = (2064540.3149144999, []) computed f(x) = 2064006.682231701
cauchy_noise_model(BBOB-NOISY suite problem f115 instance 12 in 40D) id,x = (2471, 0, (3.017871123665767, 0.7801912359923916, -3.326262369991889, 1.2767049705276154, 12.1500522173407, 3.263549807772926, -5.772335091962016, -5.958388294724816, -4.383779896908907, -3.6679887405141525, 0.54930574831498, 5.126547912516155, -1.1276002105171286, -7.8946721405193365, 5.9473985140894365, 0.4754497391999412, -6.288746336794216, 7.213246824406495, -8.906403201401504, -0.4826103387352481, -5.21926610638683, -2.720602423784634, 0.5593792516631594, -1.9255487062458216, 1.5281744677422453, 1.2795621998566749, 1.6573301637808924, -1.3387094610174484, 3.4379504590385337, -2.066227614928923, -2.577790969493523, 1.1579286340581547, -3.450766202598023, -0.04324752417879786, 8.447362301422043, 10.704127850723136, -1.0226334395284749, -1.7846240662592365, 1.6516528948416502, 3.016913419782772)) stored f(x),con(x) = (20458.884248837177, []) computed f(x) = 10599.765423412122
uniform_noise_model(BBOB-NOISY suite problem f117 instance 1 in 40D) id,x = (2490, 0, (0.28736933912807633, 7.093079882804475, 9.388466584101932, 6.980565709852304, 4.0129796720544695, -4.668265582901504, 0.5203163877621074, -1.3230464705313654, 8.59122078572855, 12.424564158854484, 12.566861875935352, 8.488570580401129, -3.029151933028617, -8.01220154495599, 8.074338836667817, 2.427726041046879, 4.933312199167099, 6.956217694492503, -5.511555218162086, -6.537724419323504, -13.193373834763559, 0.2580676383460129, -13.339103600826313, -4.814611019432647, -11.162330756701671, 6.8561058158179815, -4.318718070975952, 5.148216580615282, -8.745579424578198, -6.291315465533745, 3.0914802012264806, -0.876775164822879, -9.559433245563445, -14.267929047472705, 18.425505405653578, 8.235904811352015, 18.84603532935887, 21.853998998247715, -12.289222162116513, 0.020101264900390017)) stored f(x),con(x) = (24873392.69415699, []) computed f(x) = 24766266.631337237
uniform_noise_model(BBOB-NOISY suite problem f120 instance 9 in 40D) id,x = (2543, 0, (0.3150453854001722, -0.13207530607176893, 3.0728939842979317, 5.4640108680320605, 7.893269654119682, 1.3114343793634973, 4.978215445951486, -4.007708235200281, 1.7429872754614506, -3.877840614205445, -2.577506265571998, -5.671300993596813, -3.260137251258231, -8.043929731336801, 0.04452633867275159, 6.72660985621811, 1.7921973054924438, -1.0288944154909616, 2.626834591062426, -3.344204450503872, -0.19410312326063134, 10.011833995023167, 0.2376392811479112, 5.661366327931887, -3.3282422262689506, 0.6202496144690067, 3.714499052586504, -2.459017032530924, 2.1908162150287787, -1.9655743146289024, -1.8292563804021518, 4.218270906558013, 7.170672550168153, 2.5974184993987963, 8.08519152952042, -0.9981879584296852, -3.2747553898344477, 0.3093795062614487, -3.560239076815876, -5.361303743307234)) stored f(x),con(x) = (7197.219803294594, []) computed f(x) = 3086.138517399114
uniform_noise_model(BBOB-NOISY suite problem f120 instance 11 in 40D) id,x = (2545, 1, (-5.318155566720783, 0.07267819208633403, 7.888088335113429, -3.7208188436546425, 4.239881535231989, -1.4836975630684464, 2.853074753756607, -2.493572864252865, -1.378168613430062, 0.0528420756021462, -4.208940647705227, 0.2744266423118929, -3.1211181764015987, -1.9995028520529514, 1.5901304192444625, -5.742627730306359, 4.649892495153289, 2.9593176608020495, -4.101994521842055, 6.784966326744623, 4.843676020994742, -1.881078109579071, 1.1394358174458301, -5.596310435101448, -0.924799772913222, -0.15929792905377033, 4.345685818832589, 0.6913544983288344, -2.7284422226218568, -2.076153408730646, -0.9979967459411638, -5.67355705098761, -2.325287974194655, -1.184438636036095, -0.18049145910071135, 1.3371915915049155, -0.1840448168507794, -3.969061066135363, 1.8689408197482411, -3.981815860232181)) stored f(x),con(x) = (76714.66504966865, []) computed f(x) = 76116.12127762282
cauchy_noise_model(BBOB-NOISY suite problem f124 instance 1 in 40D) id,x = (2595, 0, (2.9357896716726004, 8.026947682958768, -0.43229050530502205, -3.715257785854482, -2.7513321465662544, -1.9804765691605386, -1.4410152789141553, 1.9180296869517133, -2.5906584625271916, -2.044679172559287, 5.959217491111461, -0.3299611501199988, -1.1462919695040201, -1.943157302176773, 0.7628139446191079, 1.9028856510504766, 0.11071862671934424, -3.690645655123352, 0.3905755998880522, 2.523653531667694, -1.9055223981053346, -0.8276865795364924, 0.89409956069445, 2.5090404242027025, 3.815236396417313, 0.6996769266880923, 3.2159459951348075, -2.9427837565623802, 0.6581866660159771, -3.6042232238439453, -4.805692747836799, -2.5061532359017424, -3.554952736387279, -2.258448685628514, -1.6913066455252008, 1.8088810925675762, 6.91163698533374, -1.230477717094854, -0.9218378774114198, -0.007660050747735391)) stored f(x),con(x) = (2426.6822756415913, []) computed f(x) = 1642.77584815004
cauchy_noise_model(BBOB-NOISY suite problem f124 instance 14 in 40D) id,x = (2608, 1, (-6.3715997676081555, -14.07844085085122, -6.9299931505705095, -11.371590541637971, -32.08078068113336, -21.559122698935834, 0.1535945672778583, -1.4177092676471772, -21.903003103975394, 7.152540659449235, 10.641251599400558, -16.856137294161947, -6.86191157717805, 0.873074106932949, -0.611575731714387, 30.522294882119116, -28.369672493766654, 11.056269138503083, 21.210065824381132, 15.109706038291593, 44.956867429220466, -8.497608539066409, 7.5137553392173615, 15.611891242451435, -14.417241548430644, -35.64945983687079, -8.516727151356237, -2.1106373469205724, -15.964746831808027, 10.060330357573783, 2.548573132129752, -27.956174274333073, 6.047097162944094, -7.2082289463343505, -5.842519976223183, 11.495944553009437, -11.890299446549937, -0.6993953459269115, 32.11963502108546, -2.272424071376509)) stored f(x),con(x) = (761503.3515267856, []) computed f(x) = 50647.237148842716
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 6 in 40D) id,x = (2645, 1, (13.729268409176582, 43.18517093841061, 16.576565888914207, -62.818724348164395, 27.589313812658283, -71.92947970648925, -76.95778760038915, 60.69884879008983, -52.709481324662306, -65.75249332266725, -34.0809914122223, -88.78056000333096, -16.723083423059556, -49.931322043224476, -54.151756896478865, 69.28832790043876, -7.386539495222705, 55.93739366942757, -9.036932807672388, -9.496178134834778, 25.798434256593943, -95.27775394318896, -32.64505239090013, -113.23568252652838, 50.5411296100951, 26.536582039763175, 43.99295690221489, 77.45819247095972, -112.54861659911694, 39.36816529906453, -74.88829193345968, -10.645053945748257, -1.2258183266261338, -89.09546907490642, -5.604556976999781, -18.064998550368855, -64.14596185724264, -2.4492693944343134, 57.00405612761749, 16.791606419400864)) stored f(x),con(x) = (11094993.168895489, []) computed f(x) = 752572.6110121979
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 10 in 40D) id,x = (2649, 1, (-1.3248965720344834, 0.38401551133788714, 0.7131871788042338, 1.9536500761124567, -5.069445844250375, -1.7895606921254985, 2.2297363618303225, 2.5899744558233984, 1.468026000046893, 2.96139734901609, 2.1328066864678625, -1.2776186219241545, 2.949102254988629, 0.5632634524084198, -1.7429166159006622, -2.360368013891062, -1.56363702223828, 1.7584443573760224, -1.0230410799769283, -3.9517600814736453, -0.1351703108149946, 0.9926902836874253, 0.31141190326938245, -3.3863363590719966, 0.0948411679962105, 0.8459872758826827, -6.706762308172906, 2.150508334071818, -0.17885883854639267, -2.730333262498976, 1.8384340000934336, -2.791510601968245, -1.6212706465112503, 1.8300029526290007, 4.7467058372914375, 1.701766925316845, 0.6052596110792464, 2.5600325585255175, -0.227223238967377, 4.052553401460791)) stored f(x),con(x) = (1568.5730651929819, []) computed f(x) = 1454.4078502469752
cauchy_noise_model(BBOB-NOISY suite problem f127 instance 15 in 40D) id,x = (2654, 0, (-0.4440772073198746, -1.9006009564667874, 1.4524774211848144, 0.3353888744735603, 0.9481884904700623, -3.29124781777478, -0.5887864315561389, -0.6251081730036135, -1.2667477234274152, -4.390693500766286, -6.920985118621197, -3.811593279913997, -2.322033713489541, 3.185423074790221, -2.2883935907426305, -0.2167272526957147, 0.8012146505075802, 2.1152196313406986, 1.7704740041789602, -2.566798095478456, -2.696542809804734, 0.0362700864788049, -1.0624217795669195, 1.2000596916123605, 8.162754360913796, -0.4962883841054134, -4.25513655272303, -0.863030960212235, -4.941126975929902, -2.852125181406586, 1.9481745749258383, 0.897252443601787, 3.37534050928848, 8.13095996763738, -1.947391106370827, -4.063885796206864, -1.9004381517901372, 0.5938763317159282, -0.849404724801391, -2.092020689819423)) stored f(x),con(x) = (3327.913584545745, []) computed f(x) = 1799.7726000238788
gaussian_noise_model(BBOB-NOISY suite problem f128 instance 15 in 40D) id,x = (2669, 0, (-3.0172181927195223, 1.6700346434126008, -0.6560859773915666, -1.420316092035018, -8.410688650629103, 1.2754043398822186, 3.282435858090001, 8.639943894399918, 1.1759281527894736, -2.988060691135444, 5.065789423800689, 3.968098262448747, -1.9533819490301063, -2.081423604205179, -7.582970479721216, 9.834833746402312, 1.2614374107214084, -10.570437349693279, -5.928589573970923, 9.711082061444344, 0.7597248091262239, 4.161351656144996, -0.2042548545376868, -2.3427750347978624, 0.8365704496652312, -7.293393063218449, 4.325257467698777, 3.6308142359815574, 6.906358772524013, 0.6329930507598113, -1.2886082197106448, -10.216176539590078, 7.110657130575846, -0.762705776755074, -6.977100836328489, 4.562837992826034, -0.8218545125201081, -3.731144941787967, 3.2152039681726094, 8.491583700249858)) stored f(x),con(x) = (16568.336024826607, []) computed f(x) = 4274.563850887155
cauchy_noise_model(BBOB-NOISY suite problem f130 instance 10 in 40D) id,x = (2694, 0, (-0.8395406894575211, 0.3960331749832549, -5.039741108162682, -11.582354907010897, 4.280327911418817, 18.97726413823831, -3.618468705101473, 1.9645288267677405, 0.23855635320003296, 10.288505421082958, 4.590159308845618, 12.915708083543933, 5.380314329002925, -5.127009266796209, -2.73489210542545, -5.2691347709974075, -13.122330395514787, -1.58952325784388, -18.02290605615566, 5.932933435343328, 5.965552269739763, 12.805899853103464, -9.787364369261345, -10.21763655501613, -9.887325699478438, 9.020587388075727, -0.3396964898559554, 0.5700228183849892, 4.560244587270702, 5.115183278888755, 13.513997972969356, -6.739878496920698, 10.0485970910254, -3.6452904899679717, -1.5033236290214578, -1.444678486534615, 1.2062714705712487, 5.137480298126868, -3.346729219476543, 3.5442250076394766)) stored f(x),con(x) = (83281.5635435526, []) computed f(x) = 11362.795919594359

[ttusar]

Maybe this information is helpful: the only functions for which the regression test never fails are 109, 126

[ttusar]

The split among different noise models is almost even ...

[brockho]

Unclear how we could have thought that the new and the old code are doing the same:

x = [0,0]

print('new code base (development branch):')
import cocoex
mysuite = cocoex.Suite('bbob-noisy', '', '')
ffn = mysuite.get_problem_by_function_dimension_instance(101, 2, 1)
for _ in range(3):
    print(ffn(x))

print('old code base (v15.03):')
import bbobbenchmarks as bn
import numpy as np
ffo = bn.F101(1)
for _ in range(3):
    print(ffo([x])[0]) 

gives on my machine (Windows 10 with python 3.11.5 and the latest COCO version from the development branch):

new code base (development branch):
80.88585114048874
80.86336377045433
80.8817960944071
old code base (v15.03):
80.88817435964651
80.90779837228773
80.88195820355547

Note: I had to replace xrange with range and iteritems with items in the bbobbenchmarks.py file in order to make the old code work with python 3.

[brockho]

My guess for the difference: we use different random number generators in both codes (to be checked).

[brockho]

Together with @nikohansen and @ttusar, we found that the noise in COCO is actually non-deterministic :-) Hence, we need to

• [ ] remove bbob-noisy from the "normal" regression test
• [ ] add a new regression test, comparing only the noiseless values (in the old code, we can call functionobject._evalfull(x) to get noisy and noiseless value of x)
• [ ] add a second regression test to compare the distribution of values (less clear right now how to do)