GA: ga_Selection – R documentation

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ga_Selection

Selection operators in genetic algorithms

Description

Functions implementing selection genetic operator.

Usage

ga_lrSelection(object, r = 2/(object@popSize * (object@popSize - 1)),
                       q = 2/object@popSize, ...)
ga_nlrSelection(object, q = 0.25, ...)
ga_rwSelection(object, ...)
ga_tourSelection(object, k = 3, ...)

gabin_lrSelection(object, r = 2/(object@popSize * (object@popSize - 1)), 
                          q = 2/object@popSize, ...)
gabin_nlrSelection(object, q = 0.25, ...)
gabin_rwSelection(object, ...)
gabin_tourSelection(object, k = 3, ...)

gareal_lrSelection(object, r = 2/(object@popSize * (object@popSize - 1)), 
                           q = 2/object@popSize, ...)
gareal_nlrSelection(object, q = 0.25, ...)
gareal_rwSelection(object, ...)
gareal_tourSelection(object, k = 3, ...)
gareal_lsSelection(object, ...)
gareal_sigmaSelection(object, ...)

gaperm_lrSelection(object, r = 2/(object@popSize * (object@popSize - 1)), 
                           q = 2/object@popSize, ...)
gaperm_nlrSelection(object, q = 0.25, ...)
gaperm_rwSelection(object, ...)
gaperm_tourSelection(object, k = 3, ...)

gareal_de(object, F = 0.8, p = 0.5, ...)

Arguments

`object`	An object of class `"ga"`, usually resulting from a call to function `ga`.
`r`	A tuning parameter for the GA selection operator.
`q`	A tuning parameter for the GA selection operator.
`k`	A tuning parameter for the GA selection operator.
`F, p`	Tuning parameters for the DE selection operator.
`...`	Further arguments passed to or from other methods.

Value

Return a list with two elements:

`population`	a matrix of dimension `object@popSize` times the number of decision variables containing the selected individuals or strings;
`fitness`	a vector of length `object@popSize` containing the fitness values for the selected individuals.

Author(s)

Luca Scrucca