View source: R/xegaGpCrossover.R
xegaGpAllCross2Gene | R Documentation |
xegaGpAllCross2Gene()
swaps two randomly extracted
subtrees between 2 genes. Subtrees must have the same
root in order to be compatible. The current implementation
performs at most lF$MaxTrials()
trials to find compatible
subtrees. If this fails, the original genes are returned.
xegaGpAllCross2Gene(ng1, ng2, lF)
ng1 |
Derivation tree. |
ng2 |
Derivation tree. |
lF |
Local configuration of the genetic algorithm. |
Crossover is controlled by one local parameter:
lF$MaxTrials()
: Maximal number of trials to find
compatible subtrees. If compatible subtrees are not
found, the gene is returned unchanged.
List of 2 derivation trees.
Other Crossover:
xegaGpAllCrossGene()
,
xegaGpFilterCross2Gene()
,
xegaGpFilterCrossGene()
gene1<-xegaGpInitGene(lFxegaGpGene)
gene2<-xegaGpInitGene(lFxegaGpGene)
xegaGpDecodeGene(gene1, lFxegaGpGene)
xegaGpDecodeGene(gene2, lFxegaGpGene)
newgenes<-xegaGpAllCross2Gene(gene1, gene2, lFxegaGpGene)
xegaGpDecodeGene(newgenes[[1]], lFxegaGpGene)
xegaGpDecodeGene(newgenes[[2]], lFxegaGpGene)
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