Breed: Breed

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

Description

Perform recombination on chromosomes

Usage

Breed(population, method, scores, nPop, nGenes)

Arguments

population	Matrix of chromosomes currently in the population.
method	One of three methods for choosing which chromosomes pair before crossover. oneScore: One parent is picked proportional to score, the second is random. twoScore: Both parents are picked proportional to score. tournament: Tournament selection method.
scores	List of scores for each model, generated by scoreFunc().
nPop	Integer defining the population size. Equal to the length of population and scores.
nGenes	Integer number of genes provided by the user or calculated prior to running the model.

Details

This function performs crossovers between chromosomes to generate the next generation of population. It performs an elite style recombination, where the best scoring chromosome is always kept and the worst is removed, then applies one of 3 methods to determine the crossovers between the remaining chromosomes. Crossovers are then performed randomly within each pair.

Value

A matrix of chromosomes, with nRow=nPop and nCol=nGenes.

Examples

set.seed(42)
test_PopChrom <- matrix(sample(c(0,1),16,replace=T), ncol = 4, nrow = 4)
test_Method <- "tournament"
test_Score <- rnorm(n = 4, mean = 10, sd = 1)
test_nPop <- 4
test_nGenes <- 4
Breed(test_PopChrom, test_Method, test_Scores, test_nPop, test_nGenes)

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