CEGO (version 2.4.3)

selfAdapt: 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