crossover: Genetic Algorithms Crossover Operation

In erickim/GA: Genetic Algorithms for Regression

Description

Performs a crossover operation for the specified type and parents.

Usage

crossover(parent1, parent2, type = "single", num_splits = NA)

Arguments

parent1	The first candidate solution (a vector of 0's and 1's).
parent2	The second candidate solution (a vector of 0's and 1's).
type	The type of crossover, either 'single' or 'multiple'.
num_splits	The number of splits for type multiple. If invalid num_splits specified, then will default to 2.

Value

A list of vectors of the children to return.

Examples

Y <- mtcars$mpg
X <- mtcars[2:11]
P = 2 * ncol(X)
regType = 'lm'
family = 'gaussian'
seed = 1

initPop <- initialize(Y, X, P, regType, family, seed)
crossover(initPop[[1]]$variables, initPop[[2]]$variables, "single")
crossover(initPop[[1]]$variables, initPop[[2]]$variables, "multiple", 3)

erickim/GA documentation built on May 28, 2019, 7:15 a.m.