nextGeneration: Breed the Selected Parents Generated From 'GA::selection()'
In mindyyang/GA-R-package-:

Description Usage Arguments Details Value Examples

Breed the Selected Parents Generated From GA::selection()

1	nextGeneration(pop, selResult, G)

`pop`	boleans matrix determined by `GA::initialization()`
`selResult`	list returnd by `GA::selection()` At the minimum, it needs to contain indices for the selected parents 1 and 2.
`offspringNum`	number of offspring generated to update the generation.

Breeding uses GA::crossover() for each pair of parents. The Generation Gap G is the proportion of the generation to be replaced by generated offspring. If the number of the selected population produced by generation gap is not an even number, choose the nearest bigger even number. Uses the offspringNum number of offspring to replace the least fit individuals in parent generation

Returns a C by P maatrix containing the population for the next generation.

dat <- mtcars
C <- ncol(dat) - 1
P <- as.integer(1.5 * C)
pop <- initialization(C, P)
fitnessFunction <- AIC
model <- lm
y <- as.matrix(dat[1])
X <- as.matrix(dat[-1])
fitScores <- fitness(pop, y, X, fitnessFunction, model, dat)
offspringNum <- 4
selResult <- selection(pop, fitnessFunction, model, fitScores, offspringNum, method = 1, dat, K = 2)
nextGeneration(pop, selResult, offspringNum)