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Jenetics - Java Genetic Algorithm Library
/*
* Java Genetic Algorithm Library (jenetics-3.2.0).
* Copyright (c) 2007-2015 Franz Wilhelmstötter
*
* 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.
*
* Author:
* Franz Wilhelmstötter ([email protected])
*/
package org.jenetics;
import static java.lang.String.format;
import static java.util.Objects.requireNonNull;
import org.jenetics.internal.util.Equality;
import org.jenetics.internal.util.Hash;
/**
* In truncation selection individuals are sorted according to their fitness.
* Only the n best individuals are selected. The truncation selection is a very
* basic selection algorithm. It has it's strength in fast selecting individuals
* in large populations, but is not very often used in practice.
*
* @see
* Wikipedia: Truncation selection
*
*
* @author Franz Wilhelmstötter
* @since 1.0
* @version 2.0
*/
public final class TruncationSelector<
G extends Gene, G>,
C extends Comparable super C>
>
implements Selector
{
/**
* Create a new TruncationSelector object.
*/
public TruncationSelector() {
}
/**
* This method sorts the population in descending order while calculating
* the selection probabilities. (The method
* {@link Population#sortWith(java.util.Comparator)} )} is called by this
* method.) If the selection size is greater the the population size, the
* whole population is duplicated until the desired sample size is reached.
*
* @throws NullPointerException if the {@code population} is {@code null}.
*/
@Override
public Population select(
final Population population,
final int count,
final Optimize opt
) {
requireNonNull(population, "Population");
requireNonNull(opt, "Optimization");
if (count < 0) {
throw new IllegalArgumentException(format(
"Selection count must be greater or equal then zero, but was %s",
count
));
}
final Population selection = new Population<>(count);
if (count > 0 && !population.isEmpty()) {
final Population copy = population.copy();
copy.sortWith(opt.descending());
int size = count;
do {
final int length = Math.min(copy.size(), size);
selection.addAll(copy.subList(0, length));
size -= length;
} while (size > 0);
}
return selection;
}
@Override
public int hashCode() {
return Hash.of(getClass()).value();
}
@Override
public boolean equals(final Object obj) {
return Equality.ofType(this, obj);
}
@Override
public String toString() {
return getClass().getName();
}
}
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