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 13

Function evaluation limit: 550

NameRatingGamesActive
bobyqa_default2452.0511yes
bobyqa_noise2390.0484yes
ultraopt_etpe2226.0141no
nevergrad_oneplus2116.055no
dlib2115.0500yes
dlib_default2033.0482yes
nlopt_directl1962.023no
nlopt_directr1941.031no
nevergrad_ngopt1939.050no
nevergrad_de1924.054no
scipy_slsqp1912.0443yes
nlopt_direct1906.025no
pymoo_pattern1845.016no
freelunch_sade_211834.010no
pymoo_nsga31824.022no
nevergrad_ngopt81819.061no
platypus_moead1793.035no
nlopt_esch1783.024no
freelunch_de_211766.08no
pymoo_nelder1763.021no
scipy_powell1762.0353yes
freelunch_sade_81754.013no
freelunch_de_81683.05no
optuna_tpe1679.043no
platypus_epsmoea1666.026no
freelunch_sa_211631.06no
nevergrad_ngopt41631.058no
platypus_omopso1625.030no
nevergrad_portfolio1624.045no
freelunch_sa_81621.03no
freelunch_sa_31601.010no
optuna_random_clone_1160059no
optuna_random160055no
optuna_random_clone160046no
optuna_random_clone_2160046no
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
platypus_genetic1599.028no
platypus_nsgaii1596.024no
platypus_ibea1565.021no
ultraopt_forest1557.0154no
pymoo_nsga21535.020no
platypus_evolutionary1526.016no
freelunch_pso_211494.08no
platypus_smpso1480.024no
nlopt_directo1465.028no
freelunch_pso_31444.07no
nlopt_crs2lm1438.021no
freelunch_pso_81425.09no
freelunch_sade_31382.09no
nlopt_isres1381.018no
freelunch_de_31371.09no
nevergrad_hammersley1341.051no
platypus_spea21328.022no
scipy_lbfgsb1298.0233yes
platypus_gde31207.031no
hyperopt_rand1169.0507yes
hyperopt_atpe1107.0515yes
hyperopt_tpe921.0562yes
ultraopt_random702.0156no