org.apache.kylin.cube.cuboid.algorithm.generic.lib.Population.java Source code

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Here is the source code for org.apache.kylin.cube.cuboid.algorithm.generic.lib.Population.java

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/*
 * 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.kylin.cube.cuboid.algorithm.generic.lib;

import org.apache.commons.math3.exception.NumberIsTooLargeException;

/**
 * A collection of chromosomes that facilitates generational evolution.
 *
 */
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();
}