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, ...)
object |
An object of class |
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. |
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 |
Luca Scrucca
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