gaLRselection: Linear Ranking Selection

In dchen49/GA: Variable Selection via Genetic Algorithm

Description

In Linear Ranking selection method, individuals are first sorted according to their fitness value and then the ranks are assigned to them. Best individual gets rank 'N' and the worst one gets rank '1'. The selection probability is then assigned linearly to the individuals according to their ranks.

Usage

gaLRselection(population, fitnessVec, eliteRate)

Arguments

population	a matrix of size n*p
fitnessVec	a vector with length n
eliteRate	a proportion between zero and one

Examples

numVar <- 6
N <- 50
population <- matrix(rbinom(numVar*N, 1, prob = 0.5), N, numVar)
fitnessVec <- seq(15, 50, length.out=50)
eliteRate <- 0.05
gaLRselection(population, fitnessVec, eliteRate)

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