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mo/src/sampling/moSampling.h
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mo/src/sampling/moSampling.h
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/*
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<moSampling.h>
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Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
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Sebastien Verel, Arnaud Liefooghe, Jeremie Humeau
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This software is governed by the CeCILL license under French law and
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abiding by the rules of distribution of free software. You can use,
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modify and/ or redistribute the software under the terms of the CeCILL
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license as circulated by CEA, CNRS and INRIA at the following URL
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"http://www.cecill.info".
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As a counterpart to the access to the source code and rights to copy,
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modify and redistribute granted by the license, users are provided only
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with a limited warranty and the software's author, the holder of the
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economic rights, and the successive licensors have only limited liability.
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In this respect, the user's attention is drawn to the risks associated
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with loading, using, modifying and/or developing or reproducing the
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software by the user in light of its specific status of free software,
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that may mean that it is complicated to manipulate, and that also
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therefore means that it is reserved for developers and experienced
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professionals having in-depth computer knowledge. Users are therefore
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encouraged to load and test the software's suitability as regards their
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requirements in conditions enabling the security of their systems and/or
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data to be ensured and, more generally, to use and operate it in the
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same conditions as regards security.
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The fact that you are presently reading this means that you have had
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knowledge of the CeCILL license and that you accept its terms.
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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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#ifndef moSampling_h
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#define moSampling_h
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#include <vector>
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#include <fstream>
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#include <iostream>
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#include <sstream>
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#include <cstdlib>
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#include <eoFunctor.h>
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#include <utils/eoMonitor.h>
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#include <continuator/moStat.h>
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#include <continuator/moCheckpoint.h>
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#include <continuator/moVectorMonitor.h>
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#include <algo/moLocalSearch.h>
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#include <eoInit.h>
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/**
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* To sample the search space:
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* A local search is used to sample the search space
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* Some statistics are computed at each step of the local search
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*
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* Can be used to study the fitness landscape
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*/
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template <class Neighbor>
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class moSampling : public eoF<void>
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{
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public:
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typedef typename Neighbor::EOT EOT ;
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/**
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* Constructor
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* @param _init initialisation method of the solution
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* @param _localSearch local search to sample the search space
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* @param _stat statistic to compute during the search
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* @param _monitoring the statistic is saved into the monitor if true
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*/
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template <class ValueType>
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moSampling(eoInit<EOT> & _init, moLocalSearch<Neighbor> & _localSearch, moStat<EOT,ValueType> & _stat, bool _monitoring = true) : init(_init), localSearch(&_localSearch), continuator(_localSearch.getContinuator())
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{
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checkpoint = new moCheckpoint<Neighbor>(*continuator);
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add(_stat, _monitoring);
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// precision of the output by default
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precisionOutput = std::cout.precision();
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}
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/**
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* default destructor
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*/
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~moSampling() {
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// delete all monitors
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for (unsigned i = 0; i < monitorVec.size(); i++)
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delete monitorVec[i];
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// delete the checkpoint
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delete checkpoint ;
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}
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/**
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* Add a statistic
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* @param _stat another statistic to compute during the search
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* @param _monitoring the statistic is saved into the monitor if true
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*/
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template< class ValueType >
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void add(moStat<EOT, ValueType> & _stat, bool _monitoring = true) {
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checkpoint->add(_stat);
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if (_monitoring) {
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moVectorMonitor<EOT> * monitor = new moVectorMonitor<EOT>(_stat);
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monitorVec.push_back(monitor);
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checkpoint->add(*monitor);
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}
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}
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/**
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* To sample the search and get the statistics which are stored in the moVectorMonitor vector
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*/
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void operator()(void) {
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// clear all statistic vectors
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for (unsigned i = 0; i < monitorVec.size(); i++)
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monitorVec[i]->clear();
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// change the checkpoint to compute the statistics
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localSearch->setContinuator(*checkpoint);
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// the initial solution
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EOT solution;
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// initialisation of the solution
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init(solution);
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// compute the sampling
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(*localSearch)(solution);
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// set back to initial continuator
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localSearch->setContinuator(*continuator);
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}
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/**
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* to set the precision of the output file
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* @param _precision precision of the output (number of digit)
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*/
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void precision(unsigned int _precision) {
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precisionOutput = _precision;
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}
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/**
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* to export the vectors of values into one file
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* @param _filename file name
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* @param _delim delimiter between statistics
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* @param _openFile to specify if it writes at the following of the file
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*/
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void fileExport(std::string _filename, std::string _delim = " ", bool _openFile=false) {
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// create file
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std::ofstream os;
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if(! _openFile)
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os.open(_filename.c_str());
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else
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os.open(_filename.c_str(),std::ios::app);
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if (!os) {
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std::string str = "moSampling: Could not open " + _filename;
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throw std::runtime_error(str);
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}
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// set the precision of the output
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os.precision(precisionOutput);
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for (unsigned int j = 0; j < monitorVec.size(); j++)
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monitorVec[j]->precision(precisionOutput);
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// all vector have the same size
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unsigned vecSize = monitorVec[0]->size();
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for (unsigned int i = 0; i < vecSize; i++) {
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os << monitorVec[0]->getValue(i);
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for (unsigned int j = 1; j < monitorVec.size(); j++) {
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os << _delim.c_str() << monitorVec[j]->getValue(i);
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}
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os << std::endl ;
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}
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}
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/**
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* to export one vector of values into a file
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* @param _col number of vector to print into file
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* @param _filename file name
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* @param _openFile to specify if it writes at the following of the file
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*/
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void fileExport(unsigned int _col, std::string _filename, bool _openFile=false) {
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if (_col >= monitorVec.size()) {
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std::string str = "moSampling: Could not export into file the vector. The index does not exists (too large)";
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throw std::runtime_error(str);
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}
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monitorVec[_col]->precision(precisionOutput);
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monitorVec[_col]->fileExport(_filename, _openFile);
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}
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/**
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* to get one vector of values
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* @param _numStat number of statistics to get (in the order of creation)
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* @return the vector of value (all values are converted in double)
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*/
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const std::vector<double> & getValues(unsigned int _numStat) {
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return monitorVec[_numStat]->getValues();
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}
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/**
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* to get one vector of solutions values
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* @param _numStat number of statistics to get (in the order of creation)
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* @return the vector of value (all values are converted in double)
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*/
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const std::vector<EOT> & getSolutions(unsigned int _numStat) {
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return monitorVec[_numStat]->getSolutions();
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}
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/**
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* @return name of the class
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*/
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virtual std::string className(void) const {
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return "moSampling";
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}
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protected:
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eoInit<EOT> & init;
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moLocalSearch<Neighbor> * localSearch;
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moContinuator<Neighbor> * continuator;
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moCheckpoint<Neighbor> * checkpoint;
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std::vector< moVectorMonitor<EOT> *> monitorVec;
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// precision of the output
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unsigned int precisionOutput;
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};
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#endif
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