git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2710 331e1502-861f-0410-8da2-ba01fb791d7f
77 lines
2.5 KiB
C++
Executable file
77 lines
2.5 KiB
C++
Executable file
/*
|
|
<t-moAdaptiveWalkSampling.cpp>
|
|
Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
|
|
|
|
Boufaras Karima
|
|
|
|
This software is governed by the CeCILL license under French law and
|
|
abiding by the rules of distribution of free software. You can ue,
|
|
modify and/ or redistribute the software under the terms of the CeCILL
|
|
license as circulated by CEA, CNRS and INRIA at the following URL
|
|
"http://www.cecill.info".
|
|
|
|
In this respect, the user's attention is drawn to the risks associated
|
|
with loading, using, modifying and/or developing or reproducing the
|
|
software by the user in light of its specific status of free software,
|
|
that may mean that it is complicated to manipulate, and that also
|
|
therefore means that it is reserved for developers and experienced
|
|
professionals having in-depth computer knowledge. Users are therefore
|
|
encouraged to load and test the software's suitability as regards their
|
|
requirements in conditions enabling the security of their systems and/or
|
|
data to be ensured and, more generally, to use and operate it in the
|
|
same conditions as regards security.
|
|
The fact that you are presently reading this means that you have had
|
|
knowledge of the CeCILL license and that you accept its terms.
|
|
|
|
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
|
Contact: paradiseo-help@lists.gforge.inria.fr
|
|
*/
|
|
|
|
#include <iostream>
|
|
#include <cstdlib>
|
|
#include <cassert>
|
|
|
|
#include <sampling/moAdaptiveWalkSampling.h>
|
|
#include "moTestClass.h"
|
|
#include <algo/moFirstImprHC.h>
|
|
#include <eval/oneMaxEval.h>
|
|
#include <continuator/moSolutionStat.h>
|
|
#include <continuator/moCounterStat.h>
|
|
#include <continuator/moIterContinuator.h>
|
|
|
|
int main() {
|
|
|
|
std::cout << "[t-moAdaptiveWalkSampling] => START" << std::endl;
|
|
|
|
bitNeighborhood nh(5);
|
|
oneMaxEval<bitVector> fullEval;
|
|
evalOneMax eval(5);
|
|
dummyInit2 init(5);
|
|
moIterContinuator<bitNeighbor> cont(2);
|
|
|
|
moAdaptiveWalkSampling<bitNeighbor> test(init,nh,fullEval,eval,3);
|
|
moCounterStat<bitVector> stat2;
|
|
test.add(stat2);
|
|
|
|
test();
|
|
|
|
std::vector<double> res;
|
|
std::vector<bitVector> res2;
|
|
res = test.getValues(1);
|
|
res2= test.getSolutions(0);
|
|
|
|
for (unsigned int i=0; i<res2.size(); i++)
|
|
assert(res2[i].fitness()==5-i);
|
|
|
|
for (unsigned int i=0; i<res.size(); i++)
|
|
assert(res[i]==i);
|
|
|
|
test.fileExport("outputTestAdaptativeWalkSampling1");
|
|
test.fileExport(1, "outputTestAdaptativeWalkSampling2");
|
|
|
|
|
|
std::cout << "[t-moAdaptiveWalkSampling] => OK" << std::endl;
|
|
|
|
return EXIT_SUCCESS;
|
|
}
|
|
|