/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 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.util.List;
import java.util.Random;
import org.encog.ml.ea.genome.GenomeFactory;
import org.encog.neural.neat.training.NEATGenome;
import org.encog.neural.neat.training.NEATLinkGene;
import org.encog.neural.neat.training.NEATNeuronGene;
/**
* This interface defines additional methods defined to create NEAT genomes. It
* is an extension to the non-NEAT specific GenomeFactory.
*
* -----------------------------------------------------------------------------
* 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 interface NEATGenomeFactory extends GenomeFactory {
/**
* Create a NEAT genome from a list of links and neurons.
*
* @param neurons
* A list of neuron genes.
* @param links
* A list of link genes.
* @param inputCount
* The input count.
* @param outputCount
* The output count.
* @return The newly factored NEATGenome.
*/
NEATGenome factor(List<NEATNeuronGene> neurons, List<NEATLinkGene> links,
int inputCount, int outputCount);
/**
* Create a new random NEAT genome.
*
* @param rnd
* A random number generator.
* @param pop
* The NEAT population.
* @param inputCount
* The input count.
* @param outputCount
* The output count.
* @param connectionDensity
* The connection density. Specify 1.0 for fully connected.
* @return The newly created NEAT genome.
*/
NEATGenome factor(Random rnd, NEATPopulation pop, int inputCount,
int outputCount, double connectionDensity);
}