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 89

Function evaluation limit: 130

NameRatingGamesActive
nevergrad_oneplus2198.054no
nevergrad_ngopt82076.053no
nevergrad_ngopt42032.039no
scipy_powell2000.0281yes
optuna_tpe1996.048no
nevergrad_hammersley1947.052no
nlopt_directr1896.017no
scipy_slsqp1872.0166yes
ultraopt_etpe1862.0126no
nevergrad_ngopt1838.043no
freelunch_sa_31792.011no
hyperopt_atpe1774.0318yes
freelunch_sa_81758.05no
freelunch_sa_211751.014no
nlopt_esch1749.020no
freelunch_de_81743.012no
nevergrad_de1699.033no
platypus_gde31689.023no
ultraopt_forest1664.0112no
hyperopt_rand1663.0359yes
nevergrad_portfolio1661.048no
platypus_epsmoea1655.010no
freelunch_sade_211642.07no
freelunch_sade_81631.08no
platypus_spea21612.022no
optuna_random_clone160053no
optuna_random_clone_1160053no
optuna_random_clone_2160048no
optuna_random160046no
shgo_slsqp_sobol16000yes
shgo_powell_sobol16000yes
shgo_nelder_sobol16000yes
scipy_lbfgsb16000yes
skopt_gp_default16000yes
dlib16000yes
dlib_default16000yes
scipy_nelder16000no
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
freelunch_krillherd_316000no
freelunch_krillherd_816000no
nlopt_crs2lm1591.018no
platypus_evolutionary1573.024no
freelunch_pso_211562.07no
pymoo_nsga21560.019no
platypus_genetic1560.026no
hyperopt_tpe1544.0366yes
freelunch_de_211540.09no
freelunch_pso_81535.05no
freelunch_sade_31519.010no
platypus_omopso1506.017no
platypus_smpso1503.022no
platypus_nsgaii1497.026no
nlopt_isres1493.014no
platypus_ibea1461.025no
freelunch_de_31447.011no
freelunch_pso_31429.010no
platypus_moead1385.021no
nlopt_directl1331.014no
nlopt_direct1318.024no
pymoo_nsga31256.021no
ultraopt_random1206.0140no
bobyqa_noise916.0354yes
bobyqa_default864.0344yes