Migration from SVN

mo/src/sampling/moAutocorrelationSampling.h

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+/*
+  <moAutocorrelationSampling.h>
+  Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
+
+  Sebastien Verel, Arnaud Liefooghe, Jeremie Humeau
+
+  This software is governed by the CeCILL license under French law and
+  abiding by the rules of distribution of free software.  You can  use,
+  modify and/ or redistribute the software under the terms of the CeCILL
+  license as circulated by CEA, CNRS and INRIA at the following URL
+  "http://www.cecill.info".
+
+  As a counterpart to the access to the source code and  rights to copy,
+  modify and redistribute granted by the license, users are provided only
+  with a limited warranty  and the software's author,  the holder of the
+  economic rights,  and the successive licensors  have only  limited liability.
+
+  In this respect, the user's attention is drawn to the risks associated
+  with loading,  using,  modifying and/or developing or reproducing the
+  software by the user in light of its specific status of free software,
+  that may mean  that it is complicated to manipulate,  and  that  also
+  therefore means  that it is reserved for developers  and  experienced
+  professionals having in-depth computer knowledge. Users are therefore
+  encouraged to load and test the software's suitability as regards their
+  requirements in conditions enabling the security of their systems and/or
+  data to be ensured and,  more generally, to use and operate it in the
+  same conditions as regards security.
+  The fact that you are presently reading this means that you have had
+  knowledge of the CeCILL license and that you accept its terms.
+
+  ParadisEO WebSite : http://paradiseo.gforge.inria.fr
+  Contact: paradiseo-help@lists.gforge.inria.fr
+*/
+
+#ifndef moAutocorrelationSampling_h
+#define moAutocorrelationSampling_h
+
+#include <eoInit.h>
+#include <eval/moEval.h>
+#include <eoEvalFunc.h>
+#include <algo/moRandomWalk.h>
+#include <continuator/moFitnessStat.h>
+#include <sampling/moSampling.h>
+
+/**
+ * To compute the autocorrelation function:
+ *   Perform a random walk based on the neighborhood,
+ *   The fitness values of solutions are collected during the random walk
+ *   The autocorrelation can be computed from the serie of fitness values
+ *
+ */
+template <class Neighbor>
+class moAutocorrelationSampling : public moSampling<Neighbor>
+{
+public:
+    typedef typename Neighbor::EOT EOT ;
+
+    using moSampling<Neighbor>::localSearch;
+
+    /**
+     * Constructor
+     * @param _init initialisation method of the solution
+     * @param _neighborhood neighborhood giving neighbor in random order
+     * @param _fullEval Fitness function, full evaluation function
+     * @param _eval neighbor evaluation, incremental evaluation function
+     * @param _nbStep Number of steps of the random walk
+     */
+    moAutocorrelationSampling(eoInit<EOT> & _init,
+                              moNeighborhood<Neighbor> & _neighborhood,
+                              eoEvalFunc<EOT>& _fullEval,
+                              moEval<Neighbor>& _eval,
+                              unsigned int _nbStep) :
+            moSampling<Neighbor>(_init, * new moRandomWalk<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep), fitnessStat) {}
+
+    /**
+     * Destructor
+     */
+    ~moAutocorrelationSampling() {
+        // delete the pointer on the local search which has been constructed in the constructor
+        delete localSearch;
+    }
+
+protected:
+    moFitnessStat<EOT> fitnessStat;
+
+};
+
+
+#endif