geneOptim: Quick & dirty genetic algorithm

In swarm-lab/geneOptimQAD:

Description

Minimization of a function using a quick & dirty algorithm.

Usage

geneOptim(fn, ..., N = 100, G = 500, min_val, max_val, p_mut = 0.25,
  w_mut = 0.2, p_cross = 0.1, n_cores = 1, .packages = NULL)

Arguments

fn	Function to minimize The ouput of the function should be a single numeric value.
N	Number of individual in the population (default: 100).
G	Number of "generations". A generation actually corresponds to a reproductive event between the best two individuals of a group of four individuals randomly chosen in the population (default: 500).
min_val	A vector of the minimum acceptable values for each gene.
max_val	A vector of the maximum acceptable values for each gene.
p_mut	Probability of a gene mutating (default: 0.25).
w_mut	Maximum variation allowed through mutation (default: 0.25).
p_cross	Probability of crossover (default: 0.1).
n_cores	Number of available cores for parallel computation (default: 1).

Value

A matrix of the final population.

Examples

#TODO

swarm-lab/geneOptimQAD documentation built on May 30, 2019, 9:35 p.m.