/*
* 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 org.oakgp.node.Node;
import org.oakgp.rank.RankedCandidate;
import org.oakgp.rank.RankedCandidates;
import org.oakgp.util.Random;
/** The <i>relative</i> fitness of candidates is used to determine the probability that they will be selected. */
public final class RankSelection implements NodeSelector {
private final Random random;
private final RankedCandidates candidates;
private final int size;
private final double sum;
/** Creates a {@code RankSelection} that uses the given {@code Random} to select from the given {@code RankedCandidates}. */
public RankSelection(Random random, RankedCandidates candidates) {
this.random = random;
this.candidates = candidates;
this.size = candidates.size();
long s = 0;
for (int i = 1; i <= size; i++) {
s += i;
}
sum = s;
}
@Override
public Node next() {
final double r = random.nextDouble();
double p = 0;
for (int i = 0; i < size; i++) {
p += (size - i) / sum;
if (r < p) {
RankedCandidate c = candidates.get(i);
return c.getNode();
}
}
// should only get here if rounding error - default to selecting the best candidate
return candidates.best().getNode();
}
}