org.evosuite.ga.operators.selection.SelectionFunction Maven / Gradle / Ivy
/**
* Copyright (C) 2010-2018 Gordon Fraser, Andrea Arcuri and EvoSuite
* contributors
*
* This file is part of EvoSuite.
*
* EvoSuite is free software: you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation, either version 3.0 of the License, or
* (at your option) any later version.
*
* EvoSuite is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with EvoSuite. If not, see .
*/
package org.evosuite.ga.operators.selection;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import org.evosuite.ga.Chromosome;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Abstract base class of selection functions
*
* @author Gordon Fraser
*/
public abstract class SelectionFunction implements Serializable {
private static final long serialVersionUID = -2514933149542277609L;
/** Constant logger
*/
protected static final Logger logger = LoggerFactory.getLogger(SelectionFunction.class);
/**
* Do we want to minimize or maximize fitness?
*/
protected boolean maximize = true;
/**
* Return index of next offspring
*
* @param population
* a {@link java.util.List} object.
* @return a int.
*/
public abstract int getIndex(List population);
/**
* Return two parents
*
* @param population
* a {@link java.util.List} object.
* @return a {@link org.evosuite.ga.Chromosome} object.
*/
public T select(List population) {
return select(population, 1).get(0);
}
/**
* Return n parents
*
* @param population
* a {@link java.util.List} object.
* @param number
* n
* @return a {@link java.util.List} object.
*/
public List select(List population, int number) {
List offspring = new ArrayList();
for (int i = 0; i < number; i++) {
offspring.add(population.get(getIndex(population)));
}
return offspring;
}
/**
* Are we maximizing or minimizing fitness?
*
* @param max
* a boolean.
*/
public void setMaximize(boolean max) {
maximize = max;
}
/**
*
* isMaximize
*
*
* @return true is we have to maximize
*/
public boolean isMaximize() {
return maximize;
}
}