PaGMO  1.1.5
schwefel.cpp
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24 
25 #include <boost/math/constants/constants.hpp>
26 #include <cmath>
27 #include <string>
28 
29 #include "../exceptions.h"
30 #include "../types.h"
31 #include "base.h"
32 #include "schwefel.h"
33 
34 namespace pagmo { namespace problem {
35 
37 
45 {
46  // Set bounds.
47  set_lb(-500);
48  set_ub(500);
49 }
50 
53 {
54  return base_ptr(new schwefel(*this));
55 }
56 
59 {
60  pagmo_assert(f.size() == 1);
61  std::vector<double>::size_type n = x.size();
62  double value=0;
63 
64  for (std::vector<double>::size_type i=0; i<n; i++){
65  value += x[i] * sin(sqrt(fabs(x[i])));
66  }
67  f[0] = 418.9828872724338 * n - value;
68 }
69 
70 std::string schwefel::get_name() const
71 {
72  return "Schwefel";
73 }
74 
75 }}
76 
77 BOOST_CLASS_EXPORT_IMPLEMENT(pagmo::problem::schwefel)
Root PaGMO namespace.
boost::shared_ptr< base > base_ptr
Alias for shared pointer to base problem.
Definition: problem/base.h:62
std::vector< double > decision_vector
Decision vector type.
Definition: types.h:40
Base problem class.
Definition: problem/base.h:148
void set_lb(const decision_vector &)
Set lower bounds from pagmo::decision_vector.
std::string get_name() const
Get problem's name.
Definition: schwefel.cpp:70
base_ptr clone() const
Clone method.
Definition: schwefel.cpp:52
void set_ub(const decision_vector &)
Set upper bounds from pagmo::decision_vector.
std::vector< double > fitness_vector
Fitness vector type.
Definition: types.h:42
void objfun_impl(fitness_vector &, const decision_vector &) const
Implementation of the objective function.
Definition: schwefel.cpp:58
The Schwefel problem.
Definition: schwefel.h:53
schwefel(int=1)
Constructor from dimension.
Definition: schwefel.cpp:44