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

Description Usage Arguments Details Value Examples

Uses the tournament method to generate a list of parents to be used in crossover. Tournament size used is k=2. It is called within Breed function.

1	tournamentSelection(population=population, scores=scores, nPop=nPop)

`population`	current chromosome population as a matrix with each row representing a chromosome and each value indicating the presence (1) or absence (0) of a specific trait
`scores`	scores for the current chromosomes in the population a lower score is better
`nPop`	current number of chromosomes in the population If you do not remove the worst chromosome before using You could set this to nPop1 to get results

The function generates a list of parents using the tournament method with size 2. The current population is broken into groups of 2 (if it is odd one member is randomly selected to sit out the tournament). For each group of 2 chromosomes the one with the lowest score is chose as a parent. This is repeated until the desired number of parents ((nPop-1)*2) has been generated.

A vector indicating the row positions in the population matrix of the parents that will be bred using Crossover.

PopChrom <- matrix(data = sample(x = c(0,1), size = 6*3, replace = TRUE),
                   nrow = 6, ncol = 3)
PopChrom <- safetyFunc(population = PopChrom)

#assumes 1 chrom was left out of of sample and reserved for next gen.

parents <- tournamentSelection(population=PopChrom, scores=c(4,50,3,100,4), nPop=6)