Java tutorial
/* * 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 org.apache.commons.math3.exception.NumberIsTooLargeException; /** * A collection of chromosomes that facilitates generational evolution. * * @since 2.0 * @version $Id: Population.java 1416643 2012-12-03 19:37:14Z tn $ */ public interface Population extends Iterable<Chromosome> { /** * Access the current population size. * @return the current population size. */ int getPopulationSize(); /** * Access the maximum population size. * @return the maximum population size. */ int getPopulationLimit(); /** * Start the population for the next generation. * @return the beginnings of the next generation. */ Population nextGeneration(); /** * Add the given chromosome to the population. * @param chromosome the chromosome to add. * @throws NumberIsTooLargeException if the population would exceed the population limit when adding * this chromosome */ void addChromosome(Chromosome chromosome) throws NumberIsTooLargeException; /** * Access the fittest chromosome in this population. * @return the fittest chromosome. */ Chromosome getFittestChromosome(); }