FitnessProportionateSelectionTest.java

/*
 * Copyright 2015 S. Webber
 *
 * 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 org.oakgp.select;

import static org.junit.Assert.assertEquals;
import static org.oakgp.TestUtils.integerConstant;

import java.util.Collections;

import org.junit.Test;
import org.oakgp.rank.RankedCandidate;
import org.oakgp.rank.RankedCandidates;
import org.oakgp.util.DummyRandom;
import org.oakgp.util.Random;

public class FitnessProportionateSelectionTest {
   @Test
   public void test() {
      RankedCandidate c1 = new RankedCandidate(integerConstant(1), 4);
      RankedCandidate c2 = new RankedCandidate(integerConstant(2), 2);
      RankedCandidate c3 = new RankedCandidate(integerConstant(3), 1);
      RankedCandidates candidates = new RankedCandidates(new RankedCandidate[] { c1, c2, c3 }, Collections.reverseOrder());

      DummyRandom r = new DummyRandom(.0, .57, .58, .85, .86, .999, .25, .65, .93);
      NodeSelector s = createFitnessProportionateSelection(r, candidates);

      assertEquals(c1.getNode(), s.next());
      assertEquals(c1.getNode(), s.next());
      assertEquals(c2.getNode(), s.next());
      assertEquals(c2.getNode(), s.next());
      assertEquals(c3.getNode(), s.next());
      assertEquals(c3.getNode(), s.next());
      assertEquals(c1.getNode(), s.next());
      assertEquals(c2.getNode(), s.next());
      assertEquals(c3.getNode(), s.next());

      r.assertEmpty();
   }

   private FitnessProportionateSelection createFitnessProportionateSelection(Random random, RankedCandidates candidates) {
      FitnessProportionateSelectionFactory f = new FitnessProportionateSelectionFactory(random);
      return f.getSelector(candidates);
   }
}