/* * Artificial Intelligence for Humans * Volume 2: Nature Inspired Algorithms * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * * Copyright 2014 by Jeff Heaton * * 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 com.heatonresearch.aifh.evolutionary.codec; import com.heatonresearch.aifh.evolutionary.genome.Genome; import com.heatonresearch.aifh.learning.MLMethod; /** * This is a simple pass-through CODEC. This CODEC is used when the genome and * phenome are the same class, and no decoding is necessary. */ public class GenomeAsPhenomeCODEC implements GeneticCODEC { /** * {@inheritDoc} */ @Override public MLMethod decode(final Genome genome) { return genome; } /** * {@inheritDoc} */ @Override public Genome encode(final MLMethod phenotype) { return (Genome) phenotype; } }