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: 340

NameRatingGamesActive
bobyqa_default2706.0364yes
bobyqa_noise2607.0315yes
nevergrad_ngopt82123.046no
nevergrad_oneplus2046.036no
nevergrad_ngopt42024.044no
scipy_slsqp1910.0182yes
platypus_epsmoea1876.020no
nlopt_directr1865.022no
freelunch_de_211819.011no
nevergrad_de1819.051no
platypus_smpso1776.022no
nevergrad_portfolio1774.044no
nevergrad_ngopt1766.047no
optuna_tpe1761.042no
nevergrad_hammersley1751.042no
ultraopt_etpe1744.092no
nlopt_esch1743.016no
scipy_powell1742.0300yes
freelunch_sa_31730.08no
platypus_ibea1723.012no
freelunch_sade_81686.010no
platypus_omopso1684.019no
scipy_lbfgsb1658.02yes
freelunch_de_81656.08no
platypus_evolutionary1631.020no
optuna_random_clone_1160049no
optuna_random_clone160047no
optuna_random_clone_2160044no
optuna_random160038no
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
hebo_sequential16000no
hebo_batch16000no
freelunch_krillherd_316000no
freelunch_krillherd_816000no
platypus_genetic1587.026no
pymoo_nsga21586.025no
freelunch_sa_211569.010no
platypus_nsgaii1565.018no
nlopt_direct1561.022no
freelunch_sa_81558.010no
freelunch_sade_31508.07no
freelunch_sade_211502.012no
hyperopt_rand1486.0357yes
freelunch_pso_81484.07no
freelunch_pso_211483.010no
freelunch_pso_31465.07no
platypus_spea21457.032no
freelunch_de_31438.09no
nlopt_crs2lm1408.017no
platypus_gde31394.023no
nlopt_directl1380.019no
ultraopt_forest1348.0120no
hyperopt_tpe1327.0389yes
platypus_moead1322.020no
nlopt_directo1315.017no
nlopt_isres1315.033no
pymoo_nsga31296.030no
hyperopt_atpe1286.0357yes
ultraopt_random910.0138no