do not delete extremes - DON'T FORGET TO UNCOMMENT IT
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@320 331e1502-861f-0410-8da2-ba01fb791d7f
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1 changed files with 90 additions and 20 deletions
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@ -72,10 +72,12 @@ public:
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void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
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{
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// evaluation of the objective values
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for (unsigned i=0; i<_pop.size(); i++)
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{
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eval(_pop[i]);
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}
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/*
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for (unsigned i=0; i<_pop.size(); i++)
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{
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eval(_pop[i]);
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}
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*/
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// fitness assignment for the whole population
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fitnessAssignment(_pop);
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// creation of a local archive
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@ -84,16 +86,13 @@ public:
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moeoArchive < MOEOT > previousArchive;
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// update the archive with the initial population
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archive.update(_pop);
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unsigned counter=0;
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do
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{
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previousArchive.update(archive);
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oneStep(_pop);
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archive.update(_pop);
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counter++;
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} while ( (! archive.equals(previousArchive)) && (continuator(_arch)) );
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_arch.update(archive);
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cout << "\t=> " << counter << " step(s)" << endl;
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}
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@ -119,6 +118,10 @@ private:
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*/
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void oneStep (eoPop < MOEOT > & _pop)
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{
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////////////////////////////////////////////
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int ext_0_idx, ext_1_idx;
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ObjectiveVector ext_0_objVec, ext_1_objVec;
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///////////////////////////////////////////
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// the move
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Move move;
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// the objective vector and the fitness of the current solution
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@ -139,20 +142,87 @@ private:
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x_objVec = moveIncrEval(move, _pop[i]);
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// update every fitness values to take x into account and compute the fitness of x
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x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
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// who is the worst individual ?
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worst_idx = -1;
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worst_objVec = x_objVec;
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worst_fitness = x_fitness;
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for (unsigned j=0; j<_pop.size(); j++)
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// qui sont les extremes ? (=> min only !!!)
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ext_0_idx = -1;
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ext_0_objVec = x_objVec;
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ext_1_idx = -1;
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ext_1_objVec = x_objVec;
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for (unsigned k=0; k<_pop.size(); k++)
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{
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if (_pop[j].fitness() < worst_fitness)
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// ext_0
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if (_pop[k].objectiveVector()[0] < ext_0_objVec[0])
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{
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worst_idx = j;
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worst_objVec = _pop[j].objectiveVector();
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worst_fitness = _pop[j].fitness();
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ext_0_idx = k;
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ext_0_objVec = _pop[k].objectiveVector();
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}
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else if ( (_pop[k].objectiveVector()[0] == ext_0_objVec[0]) && (_pop[k].objectiveVector()[1] < ext_0_objVec[1]) )
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{
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ext_0_idx = k;
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ext_0_objVec = _pop[k].objectiveVector();
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}
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// ext_1
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else if (_pop[k].objectiveVector()[1] < ext_1_objVec[1])
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{
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ext_1_idx = k;
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ext_1_objVec = _pop[k].objectiveVector();
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}
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else if ( (_pop[k].objectiveVector()[1] == ext_1_objVec[1]) && (_pop[k].objectiveVector()[0] < ext_1_objVec[0]) )
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{
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ext_1_idx = k;
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ext_1_objVec = _pop[k].objectiveVector();
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}
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}
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// the worst solution is the new one
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// worst init
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if (ext_0_idx == -1)
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{
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unsigned ind = 0;
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while (ind == ext_1_idx)
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{
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ind++;
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}
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worst_idx = ind;
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worst_objVec = _pop[ind].objectiveVector();
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worst_fitness = _pop[ind].fitness();
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}
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else if (ext_1_idx == -1)
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{
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unsigned ind = 0;
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while (ind == ext_0_idx)
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{
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ind++;
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}
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worst_idx = ind;
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worst_objVec = _pop[ind].objectiveVector();
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worst_fitness = _pop[ind].fitness();
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}
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else
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{
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worst_idx = -1;
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worst_objVec = x_objVec;
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worst_fitness = x_fitness;
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// who is the worst ?
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for (unsigned j=0; j<_pop.size(); j++)
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{
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if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
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{
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if (_pop[j].fitness() < worst_fitness)
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{
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worst_idx = j;
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worst_objVec = _pop[j].objectiveVector();
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worst_fitness = _pop[j].fitness();
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}
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}
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}
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// if the worst solution is the new one
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if (worst_idx == -1)
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{
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// if all its neighbours have been explored,
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@ -167,7 +237,7 @@ private:
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}
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}
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}
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// the worst solution is located before _pop[i]
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// if the worst solution is located before _pop[i]
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else if (worst_idx <= i)
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{
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// the new solution takes place insteed of _pop[worst_idx]
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@ -183,7 +253,7 @@ private:
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moveInit(move, _pop[i]);
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}
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}
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// the worst solution is located after _pop[i]
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// if the worst solution is located after _pop[i]
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else if (worst_idx > i)
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{
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// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
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@ -192,8 +262,8 @@ private:
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move(_pop[i+1]);
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_pop[i+1].objectiveVector(x_objVec);
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_pop[i+1].fitness(x_fitness);
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// do not explore the neighbors of the new solution immediately
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i = i+2;
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// let's explore the neighborhoud of the individual _pop[i+2]
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i += 2;
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if (i<_pop.size())
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{
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// initilization of the move for the next individual
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