/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.neat;
import java.io.Serializable;
import java.util.List;
import java.util.Random;
import org.encog.ml.ea.genome.Genome;
import org.encog.neural.neat.training.NEATGenome;
import org.encog.neural.neat.training.NEATLinkGene;
import org.encog.neural.neat.training.NEATNeuronGene;
/**
* This factory is used to create NEATGenomes.
*
* -----------------------------------------------------------------------------
* http://www.cs.ucf.edu/~kstanley/
* Encog's NEAT implementation was drawn from the following three Journal
* Articles. For more complete BibTeX sources, see NEATNetwork.java.
*
* Evolving Neural Networks Through Augmenting Topologies
*
* Generating Large-Scale Neural Networks Through Discovering Geometric
* Regularities
*
* Automatic feature selection in neuroevolution
*/
public class FactorNEATGenome implements NEATGenomeFactory, Serializable {
/**
* The serial ID.
*/
private static final long serialVersionUID = 1L;
/**
* {@inheritDoc}
*/
@Override
public NEATGenome factor() {
return new NEATGenome();
}
/**
* {@inheritDoc}
*/
@Override
public Genome factor(final Genome other) {
return new NEATGenome((NEATGenome) other);
}
/**
* {@inheritDoc}
*/
@Override
public NEATGenome factor(final List<NEATNeuronGene> neurons,
final List<NEATLinkGene> links, final int inputCount,
final int outputCount) {
return new NEATGenome(neurons, links, inputCount, outputCount);
}
/**
* {@inheritDoc}
*/
@Override
public NEATGenome factor(final Random rnd, final NEATPopulation pop,
final int inputCount, final int outputCount,
final double connectionDensity) {
return new NEATGenome(rnd, pop, inputCount, outputCount,
connectionDensity);
}
}