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: all

Dimension 55

Function evaluation limit: 80

NameRatingGamesActive
nevergrad_ngopt82367.0138no
nevergrad_oneplus2344.0134no
nevergrad_ngopt42294.0116no
nlopt_directr2227.0101no
nevergrad_ngopt2106.0133no
nevergrad_hammersley2059.0142no
optuna_tpe1895.0117no
nlopt_esch1885.0107no
scipy_powell1883.0348yes
ultraopt_etpe1883.0118no
freelunch_sa_211807.011no
freelunch_de_81796.013no
scipy_lbfgsb1741.08yes
hyperopt_rand1730.0429yes
scipy_slsqp1713.0219yes
freelunch_sa_31692.09no
freelunch_pso_211692.010no
nevergrad_portfolio1685.0121no
freelunch_sade_211674.04no
freelunch_sa_81673.04no
freelunch_sade_81657.07no
hyperopt_atpe1636.0427yes
nlopt_isres1607.076no
optuna_random_clone_11600135no
optuna_random_clone_21600134no
optuna_random_clone1600131no
optuna_random1600115no
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_genetic16000no
platypus_evolutionary16000no
platypus_nsgaii16000no
platypus_cmaes16000no
platypus_gde316000no
platypus_ibea16000no
platypus_omopso16000no
platypus_smpso16000no
platypus_spea216000no
platypus_epsmoea16000no
pymoo_nelder16000no
pymoo_unsga316000no
pymoo_pattern16000no
pymoo_nsga216000no
bayesopt_ucb16000no
bayesopt_ei16000no
bayesopt_poi16000no
nlopt_ags16000no
nlopt_directo16000no
ultraopt_gbrt16000no
hebo_sequential16000no
hebo_batch16000no
hebo_sequential16000no
hebo_batch16000no
freelunch_krillherd_316000no
freelunch_krillherd_816000no
nevergrad_de1597.0125no
freelunch_pso_31583.09no
freelunch_de_211554.05no
hyperopt_tpe1534.0391yes
ultraopt_forest1514.090no
freelunch_de_31500.06no
freelunch_pso_81484.08no
nlopt_crs2lm1480.099no
freelunch_sade_31378.011no
ultraopt_random1249.0108no
pymoo_nsga31173.095no
nlopt_direct1129.087no
nlopt_directl1084.0106no
platypus_moead1066.093no
bobyqa_noise1014.0412yes
bobyqa_default964.0438yes