UniformRanking.h
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1 /*!
2  *
3  *
4  * \brief Roulette-Wheel-Selection using uniform selection probability assignment.
5  *
6  *
7  *
8  * \author T.Voss
9  * \date 2010-2011
10  *
11  *
12  * \par Copyright 1995-2017 Shark Development Team
13  *
14  * <BR><HR>
15  * This file is part of Shark.
16  * <http://shark-ml.org/>
17  *
18  * Shark is free software: you can redistribute it and/or modify
19  * it under the terms of the GNU Lesser General Public License as published
20  * by the Free Software Foundation, either version 3 of the License, or
21  * (at your option) any later version.
22  *
23  * Shark is distributed in the hope that it will be useful,
24  * but WITHOUT ANY WARRANTY; without even the implied warranty of
25  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
26  * GNU Lesser General Public License for more details.
27  *
28  * You should have received a copy of the GNU Lesser General Public License
29  * along with Shark. If not, see <http://www.gnu.org/licenses/>.
30  *
31  */
32 #ifndef SHARK_ALGORITHMS_DIRECTSEARCH_OPERATORS_SELECTION_UNIFORMRANKING_H
33 #define SHARK_ALGORITHMS_DIRECTSEARCH_OPERATORS_SELECTION_UNIFORMRANKING_H
34 
36 
37 namespace shark {
38 /// \brief Selects individuals from the range of individual and offspring individuals.
40 
41  /// \brief Selects individuals from the range of individual and offspring individuals.
42  ///
43  /// The operator carries out the following steps:
44  /// - Assign uniform selection probabilities to all individuals.
45  /// - Carry out roulette wheel selection on the range of individual and
46  /// offspring individuals until the output range is filled.
47  ///
48  /// \param [in] individuals Iterator pointing to the first valid individual.
49  /// \param [in] individualsE Iterator pointing to the first invalid individual.
50  /// \param [in] out Iterator pointing to the first valid element of the output range.
51  /// \param [in] outE Iterator pointing to the first invalid element of the output range.
52  template<typename RngType, typename InIterator,typename OutIterator>
53  void operator()(
54  RngType& rng,
55  InIterator individuals,
56  InIterator individualsE,
57  OutIterator out,
58  OutIterator outE
59  ){
60  std::size_t size = std::distance( individuals, individualsE );
61 
62  RealVector selectionProbability(size,1.0/size);
64  for( ; out != outE; ++out ){
65  *out = *rws(rng, individuals, individualsE, selectionProbability);
66  }
67  }
68 
69 };
70 
71 }
72 
73 #endif