Partie LII. Algorithmes génétiques

Table des matières

coding_ga_binary — A function which performs conversion between binary and continuous representation

coding_ga_identity — A "no-operation" conversion function

crossover_ga_binary — A crossover function for binary code

crossover_ga_default — A crossover function for continuous variable functions

init_ga_default — A function a initialize a population

mutation_ga_binary — A function which performs binary mutation

mutation_ga_default — A continuous variable mutation function

optim_ga — A flexible genetic algorithm

optim_moga — multi-objective genetic algorithm

optim_nsga — A multi-objective Niched Sharing Genetic Algorithm

optim_nsga2 — A multi-objective Niched Sharing Genetic Algorithm version 2

pareto_filter — A function which extracts non dominated solution from a set

selection_ga_elitist — An 'elitist' selection function

selection_ga_random — A function which performs a random selection of individuals