mutate: Genetic Algorithms Mutation Operation

In erickim/GA: Genetic Algorithms for Regression

Description

Performs a mutation operation for a given rate on an offspring.

Usage

mutate(rate, offspring)

Arguments

rate	The rate of mutation.
offspring	The candidate solution (a vector of 0's and 1's) to potentially mutate.

Value

The mutated or unmutated candidate.

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)
crossoverSingle <- crossover(initPop[[1]]$variables,
initPop[[2]]$variables, "single")

mutate(rate = .05, offspring = crossoverSingle$child1

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