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Optimization and Simulation
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Optimization and Simulation
> Genetic algorithms
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
output_ga_default
—
A simple output function used for logging purposes
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
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<< Annealing
Optimization and Simulation
Neldermead >>