Leaderboards

all_d02_n130all_d02_n210all_d02_n80all_d03_n130all_d03_n210all_d03_n80all_d05_n130all_d05_n210all_d05_n80all_d08_n130all_d08_n210all_d08_n80all_d13_n130all_d13_n210all_d13_n340all_d13_n550all_d13_n80all_d21_n130all_d21_n210all_d21_n340all_d21_n550all_d21_n80all_d34_n130all_d34_n210all_d34_n340all_d34_n550all_d34_n80all_d55_n130all_d55_n210all_d55_n340all_d55_n550all_d55_n80all_d89_n130all_d89_n210all_d89_n340all_d89_n550all_d89_n80classic_d02_n130classic_d02_n210classic_d02_n30classic_d02_n340classic_d02_n50classic_d02_n80classic_d03_n130classic_d03_n210classic_d03_n30classic_d03_n340classic_d03_n50classic_d03_n80classic_d05_n130classic_d05_n210classic_d05_n30classic_d05_n340classic_d05_n50classic_d05_n80classic_d08_n130classic_d08_n210classic_d08_n30classic_d08_n340classic_d08_n50classic_d08_n80classic_d13_n130classic_d13_n210classic_d13_n340classic_d13_n550classic_d13_n80classic_d21_n130classic_d21_n210classic_d21_n340classic_d21_n550classic_d21_n80classic_d34_n130classic_d34_n210classic_d34_n340classic_d34_n550classic_d34_n80classic_d55_n130classic_d55_n210classic_d55_n340classic_d55_n550classic_d55_n80classic_d89_n130classic_d89_n210classic_d89_n340classic_d89_n550classic_d89_n80overallportfolio_d02_n130portfolio_d02_n210portfolio_d02_n80portfolio_d03_n130portfolio_d03_n210portfolio_d03_n80portfolio_d05_n130portfolio_d05_n210portfolio_d05_n80portfolio_d08_n130portfolio_d08_n210portfolio_d08_n80portfolio_d13_n130portfolio_d13_n210portfolio_d13_n340portfolio_d13_n550portfolio_d13_n80portfolio_d21_n130portfolio_d21_n210portfolio_d21_n340portfolio_d21_n550portfolio_d21_n80portfolio_d34_n130portfolio_d34_n210portfolio_d34_n340portfolio_d34_n550portfolio_d34_n80portfolio_d55_n130portfolio_d55_n210portfolio_d55_n340portfolio_d55_n550portfolio_d55_n80portfolio_d89_n130portfolio_d89_n210portfolio_d89_n340portfolio_d89_n550portfolio_d89_n80

Optimizer Elo Ratings

Produced by optimizer-elo-ratings using the humpday package. See the article.

Class of objective functions: portfolio

Dimension 34

Function evaluation limit: 340

NameRatingGamesActive
bobyqa_default2753.0432yes
bobyqa_noise2742.0493yes
dlib_default2318.0471yes
nevergrad_ngopt42257.061no
dlib2222.0472yes
nevergrad_ngopt82194.064no
nevergrad_oneplus2066.047no
nevergrad_ngopt1902.040no
nlopt_directr1855.021no
pymoo_pattern1846.024no
scipy_lbfgsb1814.019yes
freelunch_sa_211804.09no
freelunch_de_81789.09no
nlopt_esch1778.021no
nevergrad_hammersley1775.049no
ultraopt_etpe1769.0145no
scipy_powell1755.0408yes
nlopt_direct1741.019no
freelunch_sade_81735.09no
scipy_slsqp1711.0273yes
freelunch_de_211702.011no
freelunch_sa_81679.08no
nevergrad_de1662.059no
platypus_epsmoea1650.023no
nevergrad_portfolio1614.048no
freelunch_sa_31606.09no
optuna_random_clone160053no
optuna_random160050no
optuna_random_clone_2160049no
optuna_random_clone_1160044no
shgo_slsqp_sobol16000yes
shgo_powell_sobol16000yes
shgo_nelder_sobol16000yes
skopt_gp_default16000yes
scipy_nelder16000no
pysot_ei16000no
pysot_lcb16000no
pysot_random16000no
pysot_srbf16000no
pysot_dycors16000no
ax_default16000no
optuna_cmaes16000no
platypus_cmaes16000no
pymoo_unsga316000no
ultraopt_gbrt16000no
bayesopt_ucb16000no
bayesopt_ei16000no
bayesopt_poi16000no
nlopt_ags16000no
hebo_sequential16000no
hebo_batch16000no
freelunch_krillherd_316000no
freelunch_krillherd_816000no
optuna_tpe1586.052no
pymoo_nsga31583.019no
platypus_smpso1576.022no
platypus_omopso1570.022no
freelunch_de_31559.09no
platypus_genetic1547.014no
freelunch_sade_211535.09no
platypus_ibea1530.019no
freelunch_pso_81508.013no
platypus_evolutionary1480.024no
pymoo_nelder1470.021no
freelunch_sade_31466.05no
freelunch_pso_211452.013no
nlopt_isres1448.018no
platypus_gde31427.019no
platypus_moead1379.018no
platypus_nsgaii1366.028no
freelunch_pso_31365.010no
ultraopt_forest1365.0144no
nlopt_directl1359.018no
nlopt_crs2lm1342.021no
nlopt_directo1330.019no
pymoo_nsga21311.019no
platypus_spea21285.021no
hyperopt_atpe1107.0493yes
hyperopt_rand1035.0471yes
hyperopt_tpe1031.0487yes
ultraopt_random980.0136no