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: 80

NameRatingGamesActive
nevergrad_ngopt82418.0163no
nevergrad_oneplus2402.0170no
nevergrad_ngopt42367.0150no
nlopt_directr2297.0128no
nevergrad_ngopt2182.0164no
nevergrad_hammersley2090.0169no
optuna_tpe1918.0140no
ultraopt_etpe1917.0148no
nlopt_esch1902.0120no
scipy_powell1871.0348yes
freelunch_sa_211813.011no
freelunch_de_81796.013no
scipy_nelder1753.08no
scipy_lbfgsb1739.08yes
hyperopt_rand1717.0445yes
scipy_slsqp1701.0232yes
freelunch_sa_31699.09no
freelunch_pso_211695.010no
freelunch_sade_211677.04no
nevergrad_portfolio1676.0152no
freelunch_sa_81674.04no
freelunch_sade_81662.07no
hyperopt_atpe1622.0449yes
optuna_random_clone_11600168no
optuna_random_clone_21600161no
optuna_random_clone1600155no
optuna_random1600145no
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
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_pso_31588.09no
nevergrad_de1564.0145no
freelunch_de_211562.05no
ultraopt_forest1541.0118no
hyperopt_tpe1521.0418yes
freelunch_de_31501.06no
nlopt_isres1490.0101no
freelunch_pso_81488.08no
nlopt_crs2lm1486.0123no
freelunch_sade_31378.011no
ultraopt_random1224.0137no
nlopt_direct1101.0108no
pymoo_nsga31089.0121no
nlopt_directl1030.0133no
bobyqa_noise994.0436yes
platypus_moead975.0120no
bobyqa_default945.0459yes