de.termininistic.serein.examples.benchmarks.functions.multimodal.MichalewiczFunction.java Source code

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Here is the source code for de.termininistic.serein.examples.benchmarks.functions.multimodal.MichalewiczFunction.java

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/**
 * Copyright (C) 2015 Tobias Uhlig (tobias.uhlig@unibw.de)
 *
 * Licensed 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 de.termininistic.serein.examples.benchmarks.functions.multimodal;

import org.apache.commons.math3.linear.ArrayRealVector;
import org.apache.commons.math3.linear.RealVector;

import de.termininistic.serein.examples.benchmarks.functions.BenchmarkFunction;
import de.termininistic.serein.examples.benchmarks.functions.Domain;

public class MichalewiczFunction implements BenchmarkFunction {

    public final static Domain DEFAULT_DOMAIN = new Domain(0.0, Math.PI);

    public final static int DEFAULT_M_PARAMETER = 10;

    private final Domain domain;
    private final int m;

    public MichalewiczFunction() {
        this(DEFAULT_DOMAIN, DEFAULT_M_PARAMETER);
    }

    public MichalewiczFunction(Domain domain, int m) {
        this.domain = domain;
        this.m = m;
    }

    @Override
    public double map(RealVector v) {
        double[] x = v.toArray();
        double sum = 0.0;
        for (int i = 0; i < x.length; i++) {
            sum += Math.sin(x[i]) * Math.pow(Math.sin((i + 1) * x[i] * x[i] / Math.PI), 2 * m);
        }
        return -sum;
    }

    @Override
    public Domain getDomain() {
        return domain;
    }

    @Override
    public RealVector getOptimum(int dimension) {
        return new ArrayRealVector(dimension, 0.0);
    }

}