generate_mutation: Generate offsprings after mutation

In lixiao0214/GA: Genetic Algorithms package for STAT243 course

Description

generate_mutation is used to generate offsprings after mutations based on particular mutation rate. And it will give the values of goodness of fit for each offspring.

Usage

generate_mutation(input, mutation_rate, main_dataset)

Arguments

input	A matrix contains all the populations which are required to mutate. The number in each cell should be either 0 or 1. Each row represents an individual. Each column represents the variable.
mutation_rate	The chance for each variable in each individual to change the value.
main_dataset	The dataset used to run the regression model. And its model help to get the corresponding value of goodness of fit.
regression_target	character: column of df regressed on other covariates in df

Author(s)

Xiao Li

Examples

# Generate random input and choose a specific dataset in R
regression_target <- "V1"
toy_datasets <- generate_toy_dataset(regression_target = regression_target)
main_dataset <- toy_datasets$main_dataset
population <- as.matrix(toy_datasets$population)
generate_mutation(population, 0.01, main_dataset,regression_target)

lixiao0214/GA documentation built on May 3, 2019, 7:06 p.m.