crossover: Crossover 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 crossover at randomly selected locus for two individuals in a generation

Usage

crossover(P1, P2, C)

Arguments

P1	First individual
P2	Second individual
C	The number of independent variables to be selected from

Examples

# define initial parameters
C <- 5

# initiate parent generation
parents <- initiation( C = C , P = 30 )

# call crossover function
crossover( P1 = parents[ 1 , ] , P2 = parents[ 2 , ] , C = C )

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