91 lines
4.1 KiB
C++
91 lines
4.1 KiB
C++
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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// "main_ga.cpp"
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// (c) OPAC Team, LIFL, January 2006
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/* This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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#include "param.h"
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#include "route_init.h"
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#include "route_eval.h"
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#include "order_xover.h"
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#include "city_swap.h"
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#include <paradiseo>
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#define POP_SIZE 10
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#define NUM_GEN 100
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#define CROSS_RATE 1.0
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#define MUT_RATE 0.01
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int main( int __argc, char** __argv ) {
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// initializing the ParadisEO-PEO environment
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peo :: init( __argc, __argv );
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// processing the command line specified parameters
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loadParameters( __argc, __argv );
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// init, eval operators, EA operators -------------------------------------------------------------------------------------------------------------
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RouteInit route_init; // random init object - creates random Route objects
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RouteEval full_eval; // evaluator object - offers a fitness value for a specified Route object
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OrderXover crossover; // crossover operator - creates two offsprings out of two specified parents
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CitySwap mutation; // mutation operator - randomly mutates one gene for a specified individual
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// ------------------------------------------------------------------------------------------------------------------------------------------------
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// evolutionary algorithm components --------------------------------------------------------------------------------------------------------------
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eoPop< Route > population( POP_SIZE, route_init ); // initial population for the algorithm having POP_SIZE individuals
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peoSeqPopEval< Route > eaPopEval( full_eval ); // evaluator object - to be applied at each iteration on the entire population
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eoGenContinue< Route > eaCont( NUM_GEN ); // continuation criterion - the algorithm will iterate for NUM_GEN generations
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eoCheckPoint< Route > eaCheckpointContinue( eaCont ); // checkpoint object - verify at each iteration if the continuation criterion is met
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eoRankingSelect< Route > selectionStrategy; // selection strategy - applied at each iteration for selecting parent individuals
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eoSelectNumber< Route > eaSelect( selectionStrategy, POP_SIZE ); // selection object - POP_SIZE individuals are selected at each iteration
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// transform operator - includes the crossover and the mutation operators with a specified associated rate
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eoSGATransform< Route > transform( crossover, CROSS_RATE, mutation, MUT_RATE );
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peoSeqTransform< Route > eaTransform( transform ); // ParadisEO transform operator (please remark the peo prefix) - wraps an e EO transform object
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eoPlusReplacement< Route > eaReplace; // replacement strategy - for replacing the initial population with offspring individuals
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// ------------------------------------------------------------------------------------------------------------------------------------------------
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// ParadisEO-PEO evolutionary algorithm -----------------------------------------------------------------------------------------------------------
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peoEA< Route > eaAlg( eaCheckpointContinue, eaPopEval, eaSelect, eaTransform, eaReplace );
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eaAlg( population ); // specifying the initial population for the algorithm, to be iteratively evolved
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// ------------------------------------------------------------------------------------------------------------------------------------------------
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peo :: run( );
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peo :: finalize( );
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// shutting down the ParadisEO-PEO environment
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return 0;
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}
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