ElitistCMASimple.cpp
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1 /*!
2  *
3  *
4  * \brief Example for running CMA-ES on an exemplary benchmark function.
5 
6  *
7  *
8  * \author tvoss
9  * \date -
10  *
11  *
12  * \par Copyright 1995-2017 Shark Development Team
13  *
14  * <BR><HR>
15  * This file is part of Shark.
16  * <http://shark-ml.org/>
17  *
18  * Shark is free software: you can redistribute it and/or modify
19  * it under the terms of the GNU Lesser General Public License as published
20  * by the Free Software Foundation, either version 3 of the License, or
21  * (at your option) any later version.
22  *
23  * Shark is distributed in the hope that it will be useful,
24  * but WITHOUT ANY WARRANTY; without even the implied warranty of
25  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
26  * GNU Lesser General Public License for more details.
27  *
28  * You should have received a copy of the GNU Lesser General Public License
29  * along with Shark. If not, see <http://www.gnu.org/licenses/>.
30  *
31  */
34 
35 int main( int argc, char ** argv ) {
36 
37  // Adjust the floating-point format to scientific and increase output precision.
38  std::cout.setf( std::ios_base::scientific );
39  std::cout.precision( 10 );
40 
41  // Instantiate both the problem and the optimizer.
42  shark::Sphere sphere( 2 );
43  sphere.setNumberOfVariables( 2 );
45 
46  // Initialize the optimizer for the objective function instance.
47  sphere.init();
48  cma.init( sphere );
49 
50  // Iterate the optimizer until a solution of sufficient quality is found.
51  do {
52 
53  cma.step( sphere );
54 
55  // Report information on the optimizer state and the current solution to the console.
56  std::cout << sphere.evaluationCounter() << " "
57  << cma.solution().value << " "
58  << cma.solution().point << " "
59  << cma.sigma() << std::endl;
60  }while(cma.solution().value > 1E-20 );
61 }