Functions implementing selection genetic operator.
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, ...)
Return a list with two elements:
a matrix of dimension object@popSize times the number of decision variables containing the selected individuals or strings;
a vector of length object@popSize containing the fitness values for the selected individuals.
An object of class "ga", usually resulting from a call to function ga.
A tuning parameter for the GA selection operator.
A tuning parameter for the GA selection operator.
A tuning parameter for the GA selection operator.
Tuning parameters for the DE selection operator.
Further arguments passed to or from other methods.
Luca Scrucca
ga, de.