31a487ec4a
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@594 331e1502-861f-0410-8da2-ba01fb791d7f
104 lines
2.3 KiB
C++
Executable file
104 lines
2.3 KiB
C++
Executable file
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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// "moRandImprSelect.h"
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// (c) OPAC Team, LIFL, 2003-2006
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/* LICENCE TEXT
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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#ifndef __moRandImprSelect_h
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#define __moRandImprSelect_h
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#include <vector>
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#include <utils/eoRNG.h>
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#include "moMoveSelect.h"
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//! One of the possible moMove selector (moMoveSelect)
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/*!
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All the neighbors are considered.
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One of them that enables an improvment of the objective function is choosen.
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*/
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template < class M > class moRandImprSelect:public moMoveSelect < M >
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{
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public:
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//! Alias for the fitness
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typedef typename M::EOType::Fitness Fitness;
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//!Procedure which all that needs a moRandImprSelect
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/*!
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Give a value to the initialise fitness.
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Clean the move and fitness vectors.
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\param __fit the current best fitness
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*/
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void init (const Fitness & __fit)
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{
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init_fit = __fit;
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vect_better_fit.clear ();
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vect_better_moves.clear ();
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}
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//! Function that updates the fitness and move vectors
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/*!
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if a move give a better fitness than the initial fitness,
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it is saved and the fitness too.
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\param __move a new move.
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\param __fit a new fitness associated to the new move.
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\return TRUE.
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*/
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bool update (const M & __move, const Fitness & __fit)
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{
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if (__fit > init_fit)
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{
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vect_better_fit.push_back (__fit);
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vect_better_moves.push_back (__move);
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}
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return true;
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}
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//! The move selection
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/*!
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One the saved move is randomly chosen.
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\param __move the reference of the move that can be initialised by the function.
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\param __fit the reference of the fitness that can be initialised by the function.
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\throws EmptySelection If no move which improves the current fitness are found.
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*/
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void operator () (M & __move, Fitness & __fit) throw (EmptySelection)
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{
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if (!vect_better_fit.empty ())
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{
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unsigned n = rng.random (vect_better_fit.size ());
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__move = vect_better_moves[n];
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__fit = vect_better_fit[n];
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}
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else
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throw EmptySelection ();
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}
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private:
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//! Fitness of the current solution.
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Fitness init_fit;
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//! Candidate fitnesse vector.
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std::vector < Fitness > vect_better_fit;
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//! Candidate move vector.
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std::vector < M > vect_better_moves;
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};
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#endif
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