selfAdapt: Self-adaption of EA parameters.

In CEGO: Combinatorial Efficient Global Optimization

Self-adaption of EA parameters.

Description

Learning / self-adaption of parameters of the evolutionary algorithm.

Usage

selfAdapt(
  params,
  inum,
  icat,
  iint,
  nnum,
  ncat,
  nint,
  lower,
  upper,
  values,
  nvalues,
  tau,
  p
)

Arguments

params	parameters to be self-adapted
inum	boolean vector, which parameters are numeric
icat	boolean vector, which parameters are discrete, factors
iint	boolean vector, which parameters are integer
nnum	number of numerical parameters
ncat	number of discrete parameters
nint	number of integer parameters
lower	lower bounds (numeric, integer parameters only)
upper	upper bounds (numeric, integer parameters only)
values	values or levels of the discrete parameters
nvalues	number of values for each discrete parameter

See Also

optimEA

CEGO documentation built on May 29, 2024, 3:35 a.m.