mutation: Mutation Function for Genetic Algorithm for Variable...

In WaverlyWei/GA: Genetic Algorithm for model selection developed as a Final Project for Stat 243

Description

Implements genetic algorithm mutation by randomly selection, with low probability, some of the independent variables to be excluded in the next generation

Usage

mutation(P_i, mutationProb, C)

Arguments

P_i	The individual to be mutated
mutationProb	Probability of mutation
C	The number of independent variables to be selected from

Examples

# define initial parameters
C <- 5

# initiate a generation
generation <- initiation( C = C , P = 4 )

# apply mutation function to each row in generation
mut_gen <- apply( generation , 1 , mutation , mutationProb = 0.01 , C = C )

WaverlyWei/GA documentation built on May 28, 2019, 6:41 a.m.