Coverage Report - org.dishevelled.evolve.select.FitnessProportionalSelection
 
Classes in this File Line Coverage Branch Coverage Complexity
FitnessProportionalSelection
100%
8/8
100%
4/4
4
 
 1  
 /*
 2  
 
 3  
     dsh-evolve  Framework for evolutionary algorithms.
 4  
     Copyright (c) 2005-2013 held jointly by the individual authors.
 5  
 
 6  
     This library is free software; you can redistribute it and/or modify it
 7  
     under the terms of the GNU Lesser General Public License as published
 8  
     by the Free Software Foundation; either version 3 of the License, or (at
 9  
     your option) any later version.
 10  
 
 11  
     This library is distributed in the hope that it will be useful, but WITHOUT
 12  
     ANY WARRANTY; with out even the implied warranty of MERCHANTABILITY or
 13  
     FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public
 14  
     License for more details.
 15  
 
 16  
     You should have received a copy of the GNU Lesser General Public License
 17  
     along with this library;  if not, write to the Free Software Foundation,
 18  
     Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307  USA.
 19  
 
 20  
     > http://www.fsf.org/licensing/licenses/lgpl.html
 21  
     > http://www.opensource.org/licenses/lgpl-license.php
 22  
 
 23  
 */
 24  
 package org.dishevelled.evolve.select;
 25  
 
 26  
 import java.util.ArrayList;
 27  
 import java.util.Collection;
 28  
 
 29  
 import org.dishevelled.weighted.WeightedMap;
 30  
 
 31  
 import org.dishevelled.evolve.Selection;
 32  
 
 33  
 /**
 34  
  * Fitness proportional selection function.
 35  
  *
 36  
  * @param <I> individual type
 37  
  * @author  Michael Heuer
 38  
  */
 39  5
 public final class FitnessProportionalSelection<I>
 40  
     implements Selection<I>
 41  
 {
 42  
 
 43  
     /** {@inheritDoc} */
 44  
     public Collection<I> select(final Collection<I> population,
 45  
                                 final WeightedMap<I> scores)
 46  
     {
 47  4
         if (scores.totalWeight() == 0.0d)
 48  
         {
 49  1
             throw new IllegalStateException("scores total weight must be greater than zero");
 50  
         }
 51  3
         int size = population.size();
 52  3
         Collection<I> selected = new ArrayList<I>(size);
 53  1006
         for (int i = 0; i < size; i++)
 54  
         {
 55  1003
             selected.add(scores.sample());
 56  
         }
 57  3
         return selected;
 58  
     }
 59  
 }