ga_Crossover function

Crossover operators in genetic algorithms

Functions implementing crossover genetic operator.

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.

Returns

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