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 55

Function evaluation limit: 130

NameRatingGamesActive
bobyqa_noise2884.0522yes
bobyqa_default2793.0482yes
nevergrad_ngopt42512.0198no
nevergrad_oneplus2495.0220no
nevergrad_ngopt82366.0194no
nlopt_directr2296.0168no
nevergrad_ngopt2265.0199no
nevergrad_hammersley2131.0196no
optuna_tpe1993.0198no
nlopt_esch1977.0194no
ultraopt_etpe1930.0153no
scipy_powell1921.0292yes
scipy_slsqp1915.0247yes
freelunch_sa_81796.06no
freelunch_sa_31771.08no
freelunch_sade_81767.08no
scipy_lbfgsb1740.010yes
scipy_nelder1739.07no
platypus_epsmoea1735.0171no
freelunch_de_81732.05no
freelunch_pso_211693.09no
freelunch_sade_211649.07no
freelunch_sa_211645.07no
freelunch_pso_81626.08no
ultraopt_forest1617.0153no
optuna_random1600212no
optuna_random_clone_11600212no
optuna_random_clone1600205no
optuna_random_clone_21600191no
shgo_slsqp_sobol16000yes
shgo_powell_sobol16000yes
shgo_nelder_sobol16000yes
skopt_gp_default16000yes
dlib16000yes
dlib_default16000yes
pysot_ei16000no
pysot_lcb16000no
pysot_random16000no
pysot_srbf16000no
pysot_dycors16000no
ax_default16000no
optuna_cmaes16000no
platypus_cmaes16000no
pymoo_nelder16000no
pymoo_unsga316000no
pymoo_pattern16000no
ultraopt_gbrt16000no
bayesopt_ucb16000no
bayesopt_ei16000no
bayesopt_poi16000no
nlopt_ags16000no
nlopt_directo16000no
hebo_sequential16000no
hebo_batch16000no
hebo_sequential16000no
hebo_batch16000no
freelunch_krillherd_316000no
freelunch_krillherd_816000no
freelunch_de_211561.09no
freelunch_sade_31557.08no
hyperopt_rand1545.0497yes
nevergrad_de1536.0191no
freelunch_pso_31529.06no
platypus_genetic1518.0175no
freelunch_de_31504.08no
platypus_nsgaii1494.0157no
nlopt_crs2lm1481.0179no
nevergrad_portfolio1472.0198no
pymoo_nsga21462.0177no
platypus_omopso1457.0177no
hyperopt_atpe1426.0500yes
platypus_smpso1416.0182no
platypus_spea21405.0177no
platypus_evolutionary1400.0172no
nlopt_isres1374.0178no
hyperopt_tpe1368.0473yes
platypus_ibea1352.0147no
platypus_gde31343.0167no
ultraopt_random1059.0157no
pymoo_nsga3930.0177no
nlopt_direct864.0170no
nlopt_directl754.0162no
platypus_moead712.0179no