All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.commons.math3.genetics.ElitisticListPopulation Maven / Gradle / Ivy

Go to download

The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

There is a newer version: 62
Show newest version
/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.commons.math3.genetics;

import java.util.Collections;
import java.util.List;

import org.apache.commons.math3.exception.NotPositiveException;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.exception.NumberIsTooLargeException;
import org.apache.commons.math3.exception.OutOfRangeException;
import org.apache.commons.math3.exception.util.LocalizedFormats;
import org.apache.commons.math3.util.FastMath;

/**
 * Population of chromosomes which uses elitism (certain percentage of the best
 * chromosomes is directly copied to the next generation).
 *
 * @since 2.0
 */
public class ElitisticListPopulation extends ListPopulation {

    /** percentage of chromosomes copied to the next generation */
    private double elitismRate = 0.9;

    /**
     * Creates a new {@link ElitisticListPopulation} instance.
     *
     * @param chromosomes list of chromosomes in the population
     * @param populationLimit maximal size of the population
     * @param elitismRate how many best chromosomes will be directly transferred to the next generation [in %]
     * @throws NullArgumentException if the list of chromosomes is {@code null}
     * @throws NotPositiveException if the population limit is not a positive number (< 1)
     * @throws NumberIsTooLargeException if the list of chromosomes exceeds the population limit
     * @throws OutOfRangeException if the elitism rate is outside the [0, 1] range
     */
    public ElitisticListPopulation(final List chromosomes, final int populationLimit,
                                   final double elitismRate)
        throws NullArgumentException, NotPositiveException, NumberIsTooLargeException, OutOfRangeException {

        super(chromosomes, populationLimit);
        setElitismRate(elitismRate);
    }

    /**
     * Creates a new {@link ElitisticListPopulation} instance and initializes its inner chromosome list.
     *
     * @param populationLimit maximal size of the population
     * @param elitismRate how many best chromosomes will be directly transferred to the next generation [in %]
     * @throws NotPositiveException if the population limit is not a positive number (< 1)
     * @throws OutOfRangeException if the elitism rate is outside the [0, 1] range
     */
    public ElitisticListPopulation(final int populationLimit, final double elitismRate)
        throws NotPositiveException, OutOfRangeException {

        super(populationLimit);
        setElitismRate(elitismRate);
    }

    /**
     * Start the population for the next generation. The {@link #elitismRate}
     * percents of the best chromosomes are directly copied to the next generation.
     *
     * @return the beginnings of the next generation.
     */
    public Population nextGeneration() {
        // initialize a new generation with the same parameters
        ElitisticListPopulation nextGeneration =
                new ElitisticListPopulation(getPopulationLimit(), getElitismRate());

        final List oldChromosomes = getChromosomeList();
        Collections.sort(oldChromosomes);

        // index of the last "not good enough" chromosome
        int boundIndex = (int) FastMath.ceil((1.0 - getElitismRate()) * oldChromosomes.size());
        for (int i = boundIndex; i < oldChromosomes.size(); i++) {
            nextGeneration.addChromosome(oldChromosomes.get(i));
        }
        return nextGeneration;
    }

    /**
     * Sets the elitism rate, i.e. how many best chromosomes will be directly transferred to the next generation [in %].
     *
     * @param elitismRate how many best chromosomes will be directly transferred to the next generation [in %]
     * @throws OutOfRangeException if the elitism rate is outside the [0, 1] range
     */
    public void setElitismRate(final double elitismRate) throws OutOfRangeException {
        if (elitismRate < 0 || elitismRate > 1) {
            throw new OutOfRangeException(LocalizedFormats.ELITISM_RATE, elitismRate, 0, 1);
        }
        this.elitismRate = elitismRate;
    }

    /**
     * Access the elitism rate.
     * @return the elitism rate
     */
    public double getElitismRate() {
        return this.elitismRate;
    }

}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy