evolve: Mutation and Genetic Crossing

In dchen49/GA: Variable Selection via Genetic Algorithm

Usage

evolve(population, mutation.prob = 0.1, crossing.prob = 0.8, num.cross.locations = 1)

Arguments

population	matrix of dimension n * p
mutation.prob	mutation probability
crossing.prob	crossover probability
num.cross.locations	number of locations where crossover happens, defalut value is one

See Also

singlecrossover
multiplecrossover
mutation

Examples

data <- matrix(sample(c(0, 1), 150, replace = TRUE), ncol = 10)
evolve(data)

dchen49/GA documentation built on May 3, 2019, 6:43 p.m.