New style for PEO
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@789 331e1502-861f-0410-8da2-ba01fb791d7f
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132 changed files with 3781 additions and 3396 deletions
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/*
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/*
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* <main.cpp>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, INRIA, 2007
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@ -31,7 +31,7 @@
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*
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* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
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* Contact: paradiseo-help@lists.gforge.inria.fr
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*
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*
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*/
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#include <peo>
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@ -40,109 +40,109 @@
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typedef eoReal<double> Indi;
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double f (const Indi & _indi)
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{
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double sum;
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sum=_indi[1]-pow(_indi[0],2);
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sum=100*pow(sum,2);
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sum+=pow((1-_indi[0]),2);
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return (-sum);
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{
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double sum;
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sum=_indi[1]-pow(_indi[0],2);
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sum=100*pow(sum,2);
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sum+=pow((1-_indi[0]),2);
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return (-sum);
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}
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int main (int __argc, char *__argv[])
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{
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peo :: init( __argc, __argv );
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const unsigned int VEC_SIZE = 2;
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const unsigned int POP_SIZE = 20;
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const unsigned int MAX_GEN = 300;
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const double INIT_POSITION_MIN = -2.0;
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const double INIT_POSITION_MAX = 2.0;
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const float CROSS_RATE = 0.8;
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const double EPSILON = 0.01;
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const float MUT_RATE = 0.3;
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// MIG_FREQ define the frequency of the migration.
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const unsigned int MIG_FREQ = 10;
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// MIG_SIZE define the size of each migration.
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const unsigned int MIG_SIZE = 5;
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rng.reseed (time(0));
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// Define the topology of your island model
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RingTopology topology;
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// First algorithm
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/*****************************************************************************************/
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eoGenContinue < Indi > genContPara (MAX_GEN);
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eoCombinedContinue <Indi> continuatorPara (genContPara);
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eoCheckPoint<Indi> checkpoint(continuatorPara);
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peoEvalFunc<Indi> plainEval(f);
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peoSeqPopEval< Indi > eval(plainEval); // Here, the evaluation is sequential
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eoUniformGenerator < double >uGen (INIT_POSITION_MIN, INIT_POSITION_MAX);
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eoInitFixedLength < Indi > random (VEC_SIZE, uGen);
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eoRankingSelect<Indi> selectionStrategy;
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eoSelectNumber<Indi> select(selectionStrategy,POP_SIZE);
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eoSegmentCrossover<Indi> crossover;
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eoUniformMutation<Indi> mutation(EPSILON);
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eoSGATransform<Indi> transform(crossover,CROSS_RATE,mutation,MUT_RATE);
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peoSeqTransform<Indi> eaTransform(transform); // Here, the transformation is sequential
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eoPlusReplacement<Indi> replace;
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eoPop < Indi > pop;
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pop.append (POP_SIZE, random);
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eoPeriodicContinue <Indi> mig_cont( MIG_FREQ ); // Migration occurs periodically
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eoRandomSelect<Indi> mig_select_one; // Emigrants are randomly selected
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eoSelectNumber<Indi> mig_select (mig_select_one,MIG_SIZE);
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eoPlusReplacement<Indi> mig_replace; // Immigrants replace the worse individuals
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peo :: init( __argc, __argv );
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const unsigned int VEC_SIZE = 2;
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const unsigned int POP_SIZE = 20;
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const unsigned int MAX_GEN = 300;
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const double INIT_POSITION_MIN = -2.0;
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const double INIT_POSITION_MAX = 2.0;
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const float CROSS_RATE = 0.8;
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const double EPSILON = 0.01;
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const float MUT_RATE = 0.3;
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// MIG_FREQ define the frequency of the migration.
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const unsigned int MIG_FREQ = 10;
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// MIG_SIZE define the size of each migration.
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const unsigned int MIG_SIZE = 5;
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rng.reseed (time(0));
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/*****************************************************************************************/
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// Define the topology of your island model
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RingTopology topology;
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// Second algorithm (on the same model but with others names)
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/*****************************************************************************************/
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eoGenContinue < Indi > genContPara2 (MAX_GEN);
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eoCombinedContinue <Indi> continuatorPara2 (genContPara2);
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eoCheckPoint<Indi> checkpoint2(continuatorPara2);
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peoEvalFunc<Indi> plainEval2(f);
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peoSeqPopEval< Indi > eval2(plainEval2);
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eoUniformGenerator < double >uGen2 (INIT_POSITION_MIN, INIT_POSITION_MAX);
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eoInitFixedLength < Indi > random2 (VEC_SIZE, uGen2);
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eoRankingSelect<Indi> selectionStrategy2;
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eoSelectNumber<Indi> select2(selectionStrategy2,POP_SIZE);
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eoSegmentCrossover<Indi> crossover2;
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eoUniformMutation<Indi> mutation2(EPSILON);
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eoSGATransform<Indi> transform2(crossover2,CROSS_RATE,mutation2,MUT_RATE);
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peoSeqTransform<Indi> eaTransform2(transform2);
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eoPlusReplacement<Indi> replace2;
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eoPop < Indi > pop2;
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pop2.append (POP_SIZE, random2);
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eoPeriodicContinue <Indi> mig_cont2( MIG_FREQ );
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eoRandomSelect<Indi> mig_select_one2;
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eoSelectNumber<Indi> mig_select2 (mig_select_one2,MIG_SIZE);
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eoPlusReplacement<Indi> mig_replace2;
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// First algorithm
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/*****************************************************************************************/
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eoGenContinue < Indi > genContPara (MAX_GEN);
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eoCombinedContinue <Indi> continuatorPara (genContPara);
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eoCheckPoint<Indi> checkpoint(continuatorPara);
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peoEvalFunc<Indi> plainEval(f);
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peoSeqPopEval< Indi > eval(plainEval); // Here, the evaluation is sequential
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eoUniformGenerator < double >uGen (INIT_POSITION_MIN, INIT_POSITION_MAX);
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eoInitFixedLength < Indi > random (VEC_SIZE, uGen);
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eoRankingSelect<Indi> selectionStrategy;
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eoSelectNumber<Indi> select(selectionStrategy,POP_SIZE);
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eoSegmentCrossover<Indi> crossover;
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eoUniformMutation<Indi> mutation(EPSILON);
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eoSGATransform<Indi> transform(crossover,CROSS_RATE,mutation,MUT_RATE);
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peoSeqTransform<Indi> eaTransform(transform); // Here, the transformation is sequential
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eoPlusReplacement<Indi> replace;
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eoPop < Indi > pop;
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pop.append (POP_SIZE, random);
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/*****************************************************************************************/
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eoPeriodicContinue <Indi> mig_cont( MIG_FREQ ); // Migration occurs periodically
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eoRandomSelect<Indi> mig_select_one; // Emigrants are randomly selected
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eoSelectNumber<Indi> mig_select (mig_select_one,MIG_SIZE);
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eoPlusReplacement<Indi> mig_replace; // Immigrants replace the worse individuals
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/*****************************************************************************************/
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// Second algorithm (on the same model but with others names)
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/*****************************************************************************************/
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eoGenContinue < Indi > genContPara2 (MAX_GEN);
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eoCombinedContinue <Indi> continuatorPara2 (genContPara2);
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eoCheckPoint<Indi> checkpoint2(continuatorPara2);
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peoEvalFunc<Indi> plainEval2(f);
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peoSeqPopEval< Indi > eval2(plainEval2);
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eoUniformGenerator < double >uGen2 (INIT_POSITION_MIN, INIT_POSITION_MAX);
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eoInitFixedLength < Indi > random2 (VEC_SIZE, uGen2);
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eoRankingSelect<Indi> selectionStrategy2;
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eoSelectNumber<Indi> select2(selectionStrategy2,POP_SIZE);
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eoSegmentCrossover<Indi> crossover2;
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eoUniformMutation<Indi> mutation2(EPSILON);
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eoSGATransform<Indi> transform2(crossover2,CROSS_RATE,mutation2,MUT_RATE);
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peoSeqTransform<Indi> eaTransform2(transform2);
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eoPlusReplacement<Indi> replace2;
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eoPop < Indi > pop2;
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pop2.append (POP_SIZE, random2);
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eoPeriodicContinue <Indi> mig_cont2( MIG_FREQ );
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eoRandomSelect<Indi> mig_select_one2;
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eoSelectNumber<Indi> mig_select2 (mig_select_one2,MIG_SIZE);
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eoPlusReplacement<Indi> mig_replace2;
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/*****************************************************************************************/
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// You can choose between :
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//
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// - Synchronous communication : peoSyncIslandMig<Indi> mig(MIG_FREQ,mig_select,mig_replace,topology,pop,pop);
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// - Asynchronous communication : peoAsyncIslandMig<Indi> mig(mig_cont,mig_select,mig_replace,topology,pop,pop);
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// With a grid, you should use an asynchronous communication
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peoAsyncIslandMig<Indi> mig(mig_cont,mig_select,mig_replace,topology,pop,pop2);
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checkpoint.add(mig);
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peoAsyncIslandMig<Indi> mig2(mig_cont2,mig_select2,mig_replace2,topology,pop2,pop);
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checkpoint2.add(mig2);
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// Initialization of the algorithms
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peoEA<Indi> Algo(checkpoint,eval,select,eaTransform,replace);
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mig.setOwner(Algo);
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Algo(pop);
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peoEA<Indi> Algo2(checkpoint2,eval2,select2,eaTransform2,replace2);
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mig2.setOwner(Algo2);
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Algo2(pop2);
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peo :: run();
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peo :: finalize();
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if(getNodeRank()==1)
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peoAsyncIslandMig<Indi> mig(mig_cont,mig_select,mig_replace,topology,pop,pop2);
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checkpoint.add(mig);
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peoAsyncIslandMig<Indi> mig2(mig_cont2,mig_select2,mig_replace2,topology,pop2,pop);
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checkpoint2.add(mig2);
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// Initialization of the algorithms
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peoEA<Indi> Algo(checkpoint,eval,select,eaTransform,replace);
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mig.setOwner(Algo);
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Algo(pop);
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peoEA<Indi> Algo2(checkpoint2,eval2,select2,eaTransform2,replace2);
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mig2.setOwner(Algo2);
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Algo2(pop2);
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peo :: run();
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peo :: finalize();
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if (getNodeRank()==1)
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{
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std::cout << "Final population 1 :\n" << pop << std::endl;
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std::cout << "Final population 2 :\n" << pop2 << std::endl;
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std::cout << "Final population 1 :\n" << pop << std::endl;
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std::cout << "Final population 2 :\n" << pop2 << std::endl;
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}
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}
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