cma.sigma_adaptation

module documentation

step-size adaptation classes, currently tightly linked to CMA, because hsig is computed in the base class

Class	`CMAAdaptSigmaBase`	step-size adaptation base class, implement `hsig` (for stalling distribution update) functionality via an isotropic evolution path.
Class	`CMAAdaptSigmaCSA`	CSA cumulative step-size adaptation AKA path length control.
Class	`CMAAdaptSigmaDistanceProportional`	artificial setting of `sigma` for test purposes, e.g. to simulate optimal progress rates.
Class	`CMAAdaptSigmaMedianImprovement`	Compares median fitness to the 27%tile fitness of the previous iteration, see Ait ElHara et al, GECCO 2013.
Class	`CMAAdaptSigmaNone`	constant step-size sigma
Class	`CMAAdaptSigmaTPA`	two point adaptation for step-size sigma.
Variable	`csa_dampdown_fac`	Undocumented
Variable	`tpa_dampdown_fac`	is 4 in the restricted CMA of 2024, was tentatively 2, 4 mostly doesn't change standard performance much
Function	`_norm`	Undocumented

csa_dampdown_fac: int = ¶

Undocumented

tpa_dampdown_fac: int = ¶

is 4 in the restricted CMA of 2024, was tentatively 2, 4 mostly doesn't change standard performance much

def _norm(x): ¶

Undocumented