source: java/ecj/cecj/eval/TDLImprover.java @ 241

/*
  Copyright 2009 by Marcin Szubert
  Licensed under the Academic Free License version 3.0
 */

package cecj.eval;

import ec.EvolutionState;
import ec.Individual;
import ec.Setup;

/**
 * Represents temporal difference learning (TDL) algorithm which is applied to population
 * individuals to improve them between subsequent evolutionary generations.
 * 
 * @author Marcin Szubert
 * 
 */
public interface TDLImprover extends Setup {

        /**
         * Prepares an individual for being improved by TDL algorithm.
         * 
         * @param state
         *            current evolutionary state
         * @param ind
         *            individual to be prepared
         */
        public void prepareForImproving(EvolutionState state, Individual ind);

        /**
         * Applies TDL algorithm to the given individual to improve its fitness
         * 
         * @param state
         *            current evolutionary state
         * @param ind
         *            an individual to be improved
         */
        public void improve(EvolutionState state, Individual ind);
}