Index

A

Ackley (class in gob.benchmarks.ackley)

AdaLIPO_P (class in gob.optimizers.decision.AdaLIPO_P) AdaRankOpt (class in gob.optimizers.decision.AdaRankOpt)

B

BayesOpt (class in gob.optimizers.misc.BayesOpt)

Bentcigar (class in gob.benchmarks.bentcigar)

C

CBO (class in gob.optimizers.particles.CBO) CMA_ES (class in gob.optimizers.misc.CMA_ES)

competitive_ratio() (gob.gob.GOB method) CRS (class in gob.optimizers.misc.CRS)

D

Deb (class in gob.benchmarks.deb)

Direct (class in gob.optimizers.misc.Direct) Dixonprice (class in gob.benchmarks.dixonprice)

E

ECP (class in gob.optimizers.decision.ECP) expr() (gob.benchmarks.ackley.Ackley method) (gob.benchmarks.bentcigar.Bentcigar method) (gob.benchmarks.deb.Deb method) (gob.benchmarks.dixonprice.Dixonprice method) (gob.benchmarks.griewank.Griewank method) (gob.benchmarks.hyperellipsoid.Hyperellipsoid method) (gob.benchmarks.langermann.Langermann method) (gob.benchmarks.levy.Levy method) (gob.benchmarks.michalewicz.Michalewicz method) (gob.benchmarks.pygkls.PyGKLS method) (gob.benchmarks.rastrigin.Rastrigin method) (gob.benchmarks.rosenbrock.Rosenbrock method) (gob.benchmarks.schwefel.Schwefel method) (gob.benchmarks.square.Square method) (gob.benchmarks.styblinskitang.Styblinskitang method) (gob.benchmarks.sumpow.Sumpow method) (gob.benchmarks.trid.Trid method) (gob.benchmarks.zakharov.Zakharov method)

F

f_target (class in gob.metrics.f_target)

Full_Noise (class in gob.optimizers.particles.Full_Noise)

G

GCN_CBO (class in gob.optimizers.particles.common_noise.GCN.GCN_CBO) GCN_Langevin (class in gob.optimizers.particles.common_noise.GCN.GCN_Langevin) GCN_MSGD (class in gob.optimizers.particles.common_noise.GCN.GCN_MSGD) GCN_PSO (class in gob.optimizers.particles.common_noise.GCN.GCN_PSO) GCN_SBS (class in gob.optimizers.particles.common_noise.GCN.GCN_SBS) GD (class in gob.optimizers.misc.GD) GOB (class in gob.gob) gob.benchmarks.ackley module gob.benchmarks.bentcigar module gob.benchmarks.deb module gob.benchmarks.dixonprice module gob.benchmarks.griewank module gob.benchmarks.hyperellipsoid module gob.benchmarks.langermann module gob.benchmarks.levy module gob.benchmarks.michalewicz module gob.benchmarks.pygkls module gob.benchmarks.rastrigin module gob.benchmarks.rosenbrock module gob.benchmarks.schwefel module gob.benchmarks.square module gob.benchmarks.styblinskitang module gob.benchmarks.sumpow module gob.benchmarks.trid module gob.benchmarks.zakharov module gob.gob module gob.metrics.f_target module gob.metrics.proportion module gob.optimizers.decision.AdaLIPO_P module gob.optimizers.decision.AdaRankOpt module

gob.optimizers.decision.ECP module gob.optimizers.misc.BayesOpt module gob.optimizers.misc.CMA_ES module gob.optimizers.misc.CRS module gob.optimizers.misc.Direct module gob.optimizers.misc.GD module gob.optimizers.misc.MLSL module gob.optimizers.misc.PRS module gob.optimizers.particles.CBO module gob.optimizers.particles.common_noise.GCN.GCN_CBO module gob.optimizers.particles.common_noise.GCN.GCN_Langevin module gob.optimizers.particles.common_noise.GCN.GCN_MSGD module gob.optimizers.particles.common_noise.GCN.GCN_PSO module gob.optimizers.particles.common_noise.GCN.GCN_SBS module gob.optimizers.particles.common_noise.SMD.SMD_CBO module gob.optimizers.particles.common_noise.SMD.SMD_Langevin module gob.optimizers.particles.common_noise.SMD.SMD_MSGD module gob.optimizers.particles.common_noise.SMD.SMD_PSO module gob.optimizers.particles.common_noise.SMD.SMD_SBS module gob.optimizers.particles.Full_Noise module gob.optimizers.particles.Langevin module gob.optimizers.particles.MSGD module gob.optimizers.particles.PSO module gob.optimizers.particles.SBS module gob.optimizers.particles.WOA.WOA module gradient() (gob.benchmarks.pygkls.PyGKLS method) (gob.benchmarks.square.Square method) Griewank (class in gob.benchmarks.griewank)

H

Hyperellipsoid (class in gob.benchmarks.hyperellipsoid)

L

Langermann (class in gob.benchmarks.langermann)

Langevin (class in gob.optimizers.particles.Langevin) Levy (class in gob.benchmarks.levy)

M

Michalewicz (class in gob.benchmarks.michalewicz) minimize() (gob.optimizers.misc.BayesOpt.BayesOpt method) (gob.optimizers.misc.CRS.CRS method) (gob.optimizers.misc.Direct.Direct method) (gob.optimizers.misc.GD.GD method) (gob.optimizers.misc.MLSL.MLSL method) (gob.optimizers.particles.Full_Noise.Full_Noise method) (gob.optimizers.particles.WOA.WOA.WOA method) MLSL (class in gob.optimizers.misc.MLSL) module gob.benchmarks.ackley gob.benchmarks.bentcigar gob.benchmarks.deb gob.benchmarks.dixonprice gob.benchmarks.griewank gob.benchmarks.hyperellipsoid gob.benchmarks.langermann gob.benchmarks.levy gob.benchmarks.michalewicz gob.benchmarks.pygkls gob.benchmarks.rastrigin gob.benchmarks.rosenbrock gob.benchmarks.schwefel gob.benchmarks.square gob.benchmarks.styblinskitang gob.benchmarks.sumpow gob.benchmarks.trid gob.benchmarks.zakharov gob.gob gob.metrics.f_target gob.metrics.proportion gob.optimizers.decision.AdaLIPO_P gob.optimizers.decision.AdaRankOpt gob.optimizers.decision.ECP gob.optimizers.misc.BayesOpt gob.optimizers.misc.CMA_ES gob.optimizers.misc.CRS gob.optimizers.misc.Direct gob.optimizers.misc.GD gob.optimizers.misc.MLSL gob.optimizers.misc.PRS gob.optimizers.particles.CBO gob.optimizers.particles.common_noise.GCN.GCN_CBO gob.optimizers.particles.common_noise.GCN.GCN_Langevin gob.optimizers.particles.common_noise.GCN.GCN_MSGD gob.optimizers.particles.common_noise.GCN.GCN_PSO gob.optimizers.particles.common_noise.GCN.GCN_SBS gob.optimizers.particles.common_noise.SMD.SMD_CBO gob.optimizers.particles.common_noise.SMD.SMD_Langevin gob.optimizers.particles.common_noise.SMD.SMD_MSGD gob.optimizers.particles.common_noise.SMD.SMD_PSO gob.optimizers.particles.common_noise.SMD.SMD_SBS gob.optimizers.particles.Full_Noise gob.optimizers.particles.Langevin gob.optimizers.particles.MSGD gob.optimizers.particles.PSO gob.optimizers.particles.SBS gob.optimizers.particles.WOA.WOA

MSGD (class in gob.optimizers.particles.MSGD)

P

parse_benchmark() (gob.gob.GOB method) parse_metric() (gob.gob.GOB method) parse_optimizer() (gob.gob.GOB method)

Proportion (class in gob.metrics.proportion) PRS (class in gob.optimizers.misc.PRS) PSO (class in gob.optimizers.particles.PSO) PyGKLS (class in gob.benchmarks.pygkls)

R

Rastrigin (class in gob.benchmarks.rastrigin)

Rosenbrock (class in gob.benchmarks.rosenbrock) run() (gob.gob.GOB method)

S

SBS (class in gob.optimizers.particles.SBS) Schwefel (class in gob.benchmarks.schwefel) set_stop_criterion() (gob.optimizers.misc.BayesOpt.BayesOpt method) (gob.optimizers.misc.CRS.CRS method) (gob.optimizers.misc.Direct.Direct method) (gob.optimizers.misc.MLSL.MLSL method) SMD_CBO (class in gob.optimizers.particles.common_noise.SMD.SMD_CBO)

SMD_Langevin (class in gob.optimizers.particles.common_noise.SMD.SMD_Langevin) SMD_MSGD (class in gob.optimizers.particles.common_noise.SMD.SMD_MSGD) SMD_PSO (class in gob.optimizers.particles.common_noise.SMD.SMD_PSO) SMD_SBS (class in gob.optimizers.particles.common_noise.SMD.SMD_SBS) Square (class in gob.benchmarks.square) Styblinskitang (class in gob.benchmarks.styblinskitang) Sumpow (class in gob.benchmarks.sumpow)

T

transform_bounds() (gob.optimizers.misc.BayesOpt.BayesOpt static method)

transform_function() (gob.optimizers.misc.BayesOpt.BayesOpt static method) Trid (class in gob.benchmarks.trid)

W

WOA (class in gob.optimizers.particles.WOA.WOA)

Z

Zakharov (class in gob.benchmarks.zakharov)