Java tutorial
package org.um.feri.ears.problems.unconstrained; import java.util.ArrayList; import java.util.Arrays; import java.util.Collections; import java.util.List; import org.apache.commons.lang3.ArrayUtils; import org.um.feri.ears.problems.Problem; /** * Problem function! * <p> * * @author Matej Crepinsek * @version 1 * * <h3>License</h3> * * Copyright (c) 2011 by Matej Crepinsek. <br> * All rights reserved. <br> * * <p> * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * <ul> * <li>Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * <li>Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials provided with * the distribution. * <li>Neither the name of the copyright owners, their employers, nor * the names of its contributors may be used to endorse or promote * products derived from this software without specific prior written * permission. * </ul> * <p> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * */ public class ProblemEasom extends Problem { public ProblemEasom() { super(2, 0); lowerLimit = new ArrayList<Double>(Collections.nCopies(numberOfDimensions, -100.0)); upperLimit = new ArrayList<Double>(Collections.nCopies(numberOfDimensions, 100.0)); name = "Easom"; } //fEaso(x1,x2)=-cos(x1)cos(x2)exp(-((x1-pi)^2+(x2-pi)^2)) public double eval(double x[]) { double v = -Math.cos(x[0]) * Math.cos(x[1]) * Math.exp(-Math.pow((x[0] - Math.PI), 2) - Math.pow(x[1] - Math.PI, 2)); return v; } @Override public double eval(Double[] ds) { return eval(ArrayUtils.toPrimitive(ds)); } public double[][] getOptimalVector() { double[][] v = new double[1][numberOfDimensions]; Arrays.fill(v[0], Math.PI); return v; } public double getOptimumEval() { return -1.; } @Override public boolean isFirstBetter(Double[] x, double eval_x, Double[] y, double eval_y) { return eval_x < eval_y; } }