/*

     dsh-evolve  Framework for evolutionary algorithms.

     Copyright (c) 2005-2013 held jointly by the individual authors.

     This library is free software; you can redistribute it and/or modify it

     under the terms of the GNU Lesser General Public License as published

     by the Free Software Foundation; either version 3 of the License, or (at

     your option) any later version.

     This library is distributed in the hope that it will be useful, but WITHOUT

     ANY WARRANTY; with out even the implied warranty of MERCHANTABILITY or

     FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public

     License for more details.

     You should have received a copy of the GNU Lesser General Public License

     along with this library;  if not, write to the Free Software Foundation,

     Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307  USA.

     > http://www.fsf.org/licensing/licenses/lgpl.html

     > http://www.opensource.org/licenses/lgpl-license.php

 */

 package org.dishevelled.evolve.exit;

 import java.util.Collection;

 import org.dishevelled.weighted.WeightedMap;

 import org.dishevelled.evolve.ExitStrategy;

 /**

  * Fitness floor exit strategy.  Exits as soon as every individual has a fitness score

  * above a set lower bound.

  *

  * @param <I> individual type

  * @author  Michael Heuer

  * @version $Revision$ $Date$

  */

 public final class FitnessFloorExitStrategy<I>

     implements ExitStrategy<I>

 {

     /** Lower bound for this fitness floor exit strategy. */

     private final double lowerBound;

     /**

      * Create a new fitness floor exit strategy with the specified lower bound.

      *

      * @param lowerBound lower bound for this fitness floor exit strategy

      */

     public FitnessFloorExitStrategy(final double lowerBound)

     {

         this.lowerBound = lowerBound;

     }

     /** {@inheritDoc} */

     public boolean evaluate(final Collection<I> population, final WeightedMap<I> scores, final int time)

     {

         for (Double fitness : scores.values())

         {

             if (fitness <= lowerBound)

             {

                 return false;

             }

         }

         return true;

     }

 }