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Java example source code file (FitnessCachingTest.java)
The FitnessCachingTest.java Java example source code/* * 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.LinkedList; import java.util.List; import org.junit.Assert; import org.junit.Test; public class FitnessCachingTest { // parameters for the GA private static final int DIMENSION = 50; private static final double CROSSOVER_RATE = 1; private static final double MUTATION_RATE = 0.1; private static final int TOURNAMENT_ARITY = 5; private static final int POPULATION_SIZE = 10; private static final int NUM_GENERATIONS = 50; private static final double ELITISM_RATE = 0.2; // how many times was the fitness computed private static int fitnessCalls = 0; @Test public void testFitnessCaching() { // initialize a new genetic algorithm GeneticAlgorithm ga = new GeneticAlgorithm( new OnePointCrossover<Integer>(), CROSSOVER_RATE, // all selected chromosomes will be recombined (=crosssover) new BinaryMutation(), MUTATION_RATE, // no mutation new TournamentSelection(TOURNAMENT_ARITY) ); // initial population Population initial = randomPopulation(); // stopping conditions StoppingCondition stopCond = new FixedGenerationCount(NUM_GENERATIONS); // run the algorithm ga.evolve(initial, stopCond); int neededCalls = POPULATION_SIZE /*initial population*/ + (NUM_GENERATIONS - 1) /*for each population*/ * (int)(POPULATION_SIZE * (1.0 - ELITISM_RATE)) /*some chromosomes are copied*/ ; Assert.assertTrue(fitnessCalls <= neededCalls); // some chromosomes after crossover may be the same os old ones } /** * Initializes a random population. */ private static ElitisticListPopulation randomPopulation() { List<Chromosome> popList = new LinkedList Other Java examples (source code examples)Here is a short list of links related to this Java FitnessCachingTest.java source code file: |
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