CEGO: selfAdapt – R documentation

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selfAdapt

Self-adaption of EA parameters.

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

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

`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
`nvaleus`	number of values for each discrete parameter