100 lines
3.1 KiB
C++
100 lines
3.1 KiB
C++
/*
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* Open BEAGLE
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* Copyright (C) 2001-2007 by Christian Gagne and Marc Parizeau
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*
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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 2.1 of the License, or (at your option) any later version.
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*
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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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*
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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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*
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* Contact:
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* Laboratoire de Vision et Systemes Numeriques
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* Departement de genie electrique et de genie informatique
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* Universite Laval, Quebec, Canada, G1K 7P4
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* http://vision.gel.ulaval.ca
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*
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*/
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/*!
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* \file TrainSetThread.cpp
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* \brief Implementation of the class TrainSetThread.
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* \author Jiachuan Wang <jiacwang@ecs.umass.edu>
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* \author Christian Gagne <cgagne@gmail.com>
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* $Revision: 1.11.2.1 $
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* $Date: 2007/05/09 01:51:22 $
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*/
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#include "beagle/Coev.hpp"
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#include "CoSymEvalOp.hpp"
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#include "TrainSetEvalOp.hpp"
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#include "TrainSetThread.hpp"
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#include "SymGPEvalOp.hpp"
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#include "SymGPThread.hpp"
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#include <cmath>
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#include <cstdlib>
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#include <iostream>
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#include <stdexcept>
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#include <vector>
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#include <numeric>
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using namespace Beagle;
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/*!
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* \brief Construct an training set execution thread for the
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* co-evolutionary symbolic regression.
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* \param inConfigFilename Name of the configuration file to use.
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*/
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TrainSetThread::TrainSetThread(Beagle::string inConfigFilename) :
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mConfigFilename(inConfigFilename)
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{ }
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/*!
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* \brief Destruct an execution thread for the TrainSet problem.
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*/
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TrainSetThread::~TrainSetThread()
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{
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wait();
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}
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/*!
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* \brief Evolver the TrainSet problem.
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*/
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void TrainSetThread::main()
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{
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try {
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// 1. Build the system.
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System::Handle lSystem = new System;
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// 2. Build evaluation operator.
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TrainSetEvalOp::Handle lEvalOp = new TrainSetEvalOp;
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// 3. Instanciate the evolver and the vivarium for float vectors GA population.
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GA::FloatVector::Alloc::Handle lFVAlloc = new GA::FloatVector::Alloc;
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Vivarium::Handle lVivarium = new Vivarium(lFVAlloc);
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// 4. Set representation, individuals of 1 float vector, each with 20 float values.
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const unsigned int lVectorSize=20;
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// 5. Initialize the evolver and evolve the vivarium.
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GA::EvolverFloatVector::Handle lEvolver = new GA::EvolverFloatVector(lEvalOp, lVectorSize);
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lEvolver->addOperator(new Coev::TermBroadcastOp);
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lEvolver->initialize(lSystem, mConfigFilename);
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lEvolver->evolve(lVivarium);
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}
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catch(Exception& inException) {
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inException.terminate(std::cerr);
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}
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catch(std::exception& inException) {
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std::cerr << "Standard exception catched:" << std::endl << std::flush;
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std::cerr << inException.what() << std::endl << std::flush;
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}
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}
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