Crossover: Chromosome Crossover

In GilChrist19/GA: Perform lm() or glm() Implemented Within a Genetic Algorithm

Description

Make 2 individual parent chromosomes crossover when breeding offsprings.

Usage

crossover(Chromes，parent1, parent2，numgenes)

Arguments

Chromes	A matrix, whose each row representing an individual chromosome and each column representing Pop.
parent1, parent2	Numeric vectors represents individual parent chromosome.
numgenes	Number of genes in each chromosome.

Details

This function makes two individual parent chromosomes perfrom crossover when breeding next generation. Note that the crossover randomly pick several break points, perform break and recombination on each set of parents.

Value

A matrix with each column representing the offsprings from a process of crossover.

Examples

test_Chromes <-  matrix(data = sample(c(0,1), size = Pop*genes, replace = TRUE), nrow = Pop, ncol = genes)
test_parent1 <- sample(x = 1:(nPop-1), size = nPop-1, replace = TRUE, prob = 1/relscore)
test_parent2 <- secondParents(firstParents=firstParents, method=method, nPop=nPop, relscore=relscore)
test_numgenes <- ncol(test_Chromes)
crossover(test_Chromes,parent1,parent2,numgenes)

GilChrist19/GA documentation built on May 13, 2019, 5:32 p.m.