gaExpSelection: Exponential Ranking Selection

In dchen49/GA: Variable Selection via Genetic Algorithm

Description

In nonlinear 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 probabilities here are exponentially weighted. The base of the exponent is c.

Usage

gaExpSelection(population, fitnessVec, eliteRate, c)

Arguments

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

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
c <- 0.5
gaExpSelection(population, fitnessVec, eliteRate, c)

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