update_generations: Used to perform an iteration of the Genetic Algorithm and...

In Skjemaa/GA: Selects covariates for use in regression using genetic algorithm

Description

Used to perform an iteration of the Genetic Algorithm and return the next generation from the generation 'individuals'

Usage

update_generations(y, dataset, individuals, objective, pop_size, generation_gap,
  parent_selection, nb_groups, gene_selection, gene_operator, nb_pts,
  reg_method, mu)

Arguments

y	the name of the response variable in the data frame 'dataset'
dataset	the data frame containing the variables in the model
pop_size	the number of individuals in the next generation
generation_gap	the proportion of individuals to bereplaced generation to keep in the next one
nb_groups	the number of subgroups if the tournament selection is the parent selection mechanism
gene_selection	the gene operator, chose between "crossover", "random" for random locis swap or provide the name of your own function inside quotation marks
selection	the name of the parents selection mechanism, the user can provide the name of his own function defining a parent selection mechanism
nb_points	the number of crossover points if gene_selection="crossover"

Value

a list of pop_size new models each a list with fields

variables	the covariates kept in the model
indices	the indices of the covariates kept in the model
linear_model	the linear model for these covariates

Skjemaa/GA documentation built on May 3, 2019, 6:42 p.m.