Add the double incremental evaluation for UBQP

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2552 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
verel 2011-12-06 21:20:50 +00:00
commit b4b7c583fe
2 changed files with 207 additions and 2 deletions

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@ -70,7 +70,7 @@ public:
*
*/
virtual void init() {
firstEval = false;
firstEval = true;
}
/**
@ -82,7 +82,9 @@ public:
virtual operator()(EOT & _solution) {
}
/** the delta of fitness for each neighbors */
/** the delta of fitness for each neighbors
* The fitness of the neighbor i is given by : fitness(solution) + deltaFitness[i]
*/
Fitness * deltaFitness;
protected:

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@ -0,0 +1,203 @@
/*
<moUBQPdoubleIncrEvaluation.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,
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*/
#ifndef moUBQPdoubleIncrEvaluation_H
#define moUBQPdoubleIncrEvaluation_H
#include <eval/moDoubleIncrNeighborhoodEvaluation.h>
#include <neighborhood/moNeighborhoodExplorer.h>
#include <eval/moEval.h>
/**
* The neighborhood evaluation for the UBQP
* The double incremental evaluation is used
*
*/
template<class Neighbor>
class moUBQPdoubleIncrEvaluation : public moNeighborhoodEvaluation<Neighbor>, moUpdater
{
public:
using moDoubleIncrEvaluation::deltaFitness;
/**
* Constructor
*
* @param _neighborhoodSize the size of the neighborhood
* @param _searchExplorer the neighborhood explorer of the local search
* @param _incrEval the incremental evaluation of the UBQP
*/
moUBQPdoubleIncrEvaluation(unsigned int _neighborhoodSize, moNeighborhoodExplorer<Neighbor> & _searchExplorer, moEval<Neighbor> & _incrEval) : moDoubleIncrNeighborhoodEvaluation<Neighbor>(_neighborhoodSize), searchExplorer(_searchExplorer)
{
n = _incrEval.getNbVar();
Q = _incrEval.getQ();
}
/**
* Evaluation of the neighborhood
* Here nothing to do
*
* @param _solution the current solution
*/
virtual operator()(EOT & _solution) {
if (firstEval) {
firstEval = false;
// compute the delta in the simple incremental way O(n)
unsigned int j;
int d;
for(unsigned i = 0; i < n; i++) {
d = Q[i][i];
for(j = 0; j < i; j++)
if (_solution[j])
d += Q[i][j];
for(j = i+1; j < n; j++)
if (_solution[j])
d += Q[j][i];
if (_solution[i])
d = - d;
deltaFitness[i] = d;
}
} else {
if (searchExplorer.moveApplied()) { // compute the new fitness only when the solution has moved
// the currentNeighbor is the previous neighbor
// the movement is made on this neighbor
// we suppose that the neighborhood is bit string neighborhood (indexed neighbor)
unsigned iMove = searchExplorer.currentNeighbor.index();
for(unsigned i = 0; i < n; i++) {
if (i == iMove)
deltaFitness[i] = - deltaFitness[i] ;
else {
if (_solution[i] != _solution[iMove])
if (i < iMove)
deltaFitness[i] += Q[iMove][i];
else
deltaFitness[i] += Q[i][iMove];
else
if (i < iMove)
deltaFitness[i] -= Q[iMove][i];
else
deltaFitness[i] -= Q[i][iMove];
}
}
}
}
}
/*
* to get the matrix Q
*
* @return matrix Q
*/
int** getQ() {
return Q;
}
/*
* to get the number of variable (bit string length)
*
* @return bit string length
*/
int getNbVar() {
return n;
}
private:
/**
* compute the delta of fitness in linear time (incremental evaluation)
*
* @param i the neighbor to consider
*/
/*
void fullDelta(unsigned int i) {
unsigned int j;
int d = Q[i][i];
for(j = 0; j < i; j++)
if (current[j])
d += Q[i][j];
for(j = i+1; j < n; j++)
if (current[j])
d += Q[j][i];
if (current[i])
d = - d;
delta[i] = d;
}
*/
/**
* compute the delta of delta in constant time (3 tests and 1 operation)
*
* @param i the neighbor to consider
*/
/*
void updateDelta(unsigned int i) {
if (i == iMove)
delta[i] = - delta[i] ;
else {
if (current[i] != current[iMove])
if (i < iMove)
delta[i] += Q[iMove][i];
else
delta[i] += Q[i][iMove];
else
if (i < iMove)
delta[i] -= Q[iMove][i];
else
delta[i] -= Q[i][iMove];
}
}
*/
// number of variables
int n;
// matrix Q (supposed to be in lower triangular form)
int ** Q;
/** The search explorer of the local search */
moNeighborhoodExplorer<Neighbor> & searchExplorer;
};
#endif