merge ParadisEO-MOEO v-1.0

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@400 331e1502-861f-0410-8da2-ba01fb791d7f

trunk/paradiseo-moeo/src/distance/moeoNormalizedDistance.h

@@ -0,0 +1,112 @@
+// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
+
+//-----------------------------------------------------------------------------
+// moeoNormalizedDistance.h
+// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
+/*
+    This library...
+
+    Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
+ */
+//-----------------------------------------------------------------------------
+
+#ifndef MOEONORMALIZEDDISTANCE_H_
+#define MOEONORMALIZEDDISTANCE_H_
+
+#include <vector>
+#include <utils/eoRealBounds.h>
+#include <distance/moeoDistance.h>
+
+/**
+ * The base class for double distance computation with normalized objective values (i.e. between 0 and 1).
+ */
+template < class MOEOT , class Type = double >
+class moeoNormalizedDistance : public moeoDistance < MOEOT , Type >
+{
+public:
+
+    /** the objective vector type of the solutions */
+    typedef typename MOEOT::ObjectiveVector ObjectiveVector;
+
+
+    /**
+     * Default ctr
+     */
+    moeoNormalizedDistance()
+    {
+        bounds.resize(ObjectiveVector::Traits::nObjectives());
+        // initialize bounds in case someone does not want to use them
+        for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
+        {
+            bounds[i] = eoRealInterval(0,1);
+        }
+    }
+
+
+    /**
+     * Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound)
+     */
+    static double tiny()
+    {
+        return 1e-6;
+    }
+
+
+    /**
+     * Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop
+     * @param _pop the population
+     */
+    virtual void setup(const eoPop < MOEOT > & _pop)
+    {
+        double min, max;
+        for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
+        {
+            min = _pop[0].objectiveVector()[i];
+            max = _pop[0].objectiveVector()[i];
+            for (unsigned int j=1; j<_pop.size(); j++)
+            {
+                min = std::min(min, _pop[j].objectiveVector()[i]);
+                max = std::max(max, _pop[j].objectiveVector()[i]);
+            }
+            // setting of the bounds for the objective i
+            setup(min, max, i);
+        }
+    }
+
+
+    /**
+     * Sets the lower bound (_min) and the upper bound (_max) for the objective _obj
+     * @param _min lower bound
+     * @param _max upper bound
+     * @param _obj the objective index
+     */
+    virtual void setup(double _min, double _max, unsigned int _obj)
+    {
+        if (_min == _max)
+        {
+            _min -= tiny();
+            _max += tiny();
+        }
+        bounds[_obj] = eoRealInterval(_min, _max);
+    }
+
+
+    /**
+     * Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object
+     * @param _realInterval the eoRealInterval object
+     * @param _obj the objective index
+     */
+    virtual void setup(eoRealInterval _realInterval, unsigned int _obj)
+    {
+        bounds[_obj] = _realInterval;
+    }
+
+
+protected:
+
+    /** the bounds for every objective (bounds[i] = bounds for the objective i) */
+    std::vector < eoRealInterval > bounds;
+
+};
+
+#endif /*MOEONORMALIZEDDISTANCE_H_*/