Example usage for org.apache.commons.math3.genetics Chromosome fitness

Introduction

In this page you can find the example usage for org.apache.commons.math3.genetics Chromosome fitness.

Prototype

double fitness

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Document

Cached value of the fitness of this chromosome.

Usage

From source file:com.dlej.Main.java

public static void main(String[] args) {
    long startTime = System.currentTimeMillis();

    // initialize a new genetic algorithm
    GeneticAlgorithm ga = new GeneticAlgorithm(new OnePointCrossover<Character>(), CROSSOVER_RATE,
            new RandomCharacterMutation(), MUTATION_RATE, new TournamentSelection(TOURNAMENT_ARITY));

    // initial population
    Population initial = getInitialPopulation();

    // stopping condition
    StoppingCondition stoppingCondition = new StoppingCondition() {

        int generation = 0;

        @Override/*  w ww. j  a  v a2 s. c o m*/
        public boolean isSatisfied(Population population) {
            Chromosome fittestChromosome = population.getFittestChromosome();

            if (generation == 1 || generation % 10 == 0) {
                System.out.println("Generation " + generation + ": " + fittestChromosome.toString());
            }
            generation++;

            double fitness = fittestChromosome.fitness();
            if (Precision.equals(fitness, 0.0, 1e-6)) {
                return true;
            } else {
                return false;
            }
        }
    };

    System.out.println("Starting evolution ...");

    // run the algorithm
    Population finalPopulation = ga.evolve(initial, stoppingCondition);

    // Get the end time for the simulation.
    long endTime = System.currentTimeMillis();

    // best chromosome from the final population
    Chromosome best = finalPopulation.getFittestChromosome();
    System.out.println("Generation " + ga.getGenerationsEvolved() + ": " + best.toString());
    System.out.println("Total execution time: " + (endTime - startTime) + "ms");
}

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