ga_Crossover: Crossover operators in genetic algorithms

In GA: Genetic Algorithms

Crossover operators in genetic algorithms

Description

Functions implementing crossover genetic operator.

Usage

ga_spCrossover(object, parents, ...)

gabin_spCrossover(object, parents, ...)
gabin_uCrossover(object, parents, ...)

gareal_spCrossover(object, parents, ...)
gareal_waCrossover(object, parents, ...)
gareal_laCrossover(object, parents, ...)
gareal_blxCrossover(object, parents, a = 0.5, ...)
gareal_laplaceCrossover(object, parents, a = 0, b = 0.15, ...)

gaperm_cxCrossover(object, parents, ...)
gaperm_pmxCrossover(object, parents, ...)
gaperm_oxCrossover(object, parents, ...)
gaperm_pbxCrossover(object, parents, ...)

Arguments

object	An object of class "ga", usually resulting from a call to function ga.
parents	A two-rows matrix of values indexing the parents from the current population.
...	Further arguments passed to or from other methods.
a, b	Parameters of genetic operators.

Value

Return a list with two elements:

children	a matrix of dimension 2 times the number of decision variables containing the generated offsprings;
fitness	a vector of length 2 containing the fitness values for the offsprings. A value NA is returned if an offspring is different (which is usually the case) from the two parents.

Author(s)

Luca Scrucca

See Also

ga

GA documentation built on Oct. 19, 2022, 1:08 a.m.