Genetic Algorithms
~~~~~~~~~~~~~~~~~~


+ `algorithms`_

    + `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

+ `utilities`_

    + `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
    + `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



.. _coding_ga_identity: coding_ga_identity.html
.. _optim_ga: optim_ga.html
.. _mutation_ga_binary: mutation_ga_binary.html
.. _selection_ga_elitist: selection_ga_elitist.html
.. _mutation_ga_default: mutation_ga_default.html
.. _optim_nsga: optim_nsga.html
.. _optim_moga: optim_moga.html
.. _init_ga_default: init_ga_default.html
.. _crossover_ga_binary: crossover_ga_binary.html
.. _coding_ga_binary: coding_ga_binary.html
.. _optim_nsga2: optim_nsga2.html
.. _algorithms: section_a3c095d7eae628433f02fab9bb53164c.html
.. _crossover_ga_default: crossover_ga_default.html
.. _selection_ga_random: selection_ga_random.html
.. _pareto_filter: pareto_filter.html
.. _utilities: section_138ea34c81b8f19c08ac44351b0ff644.html