PaGMO  1.1.5
griewank.cpp
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24 
25 #include <boost/math/constants/constants.hpp>
26 #include <cmath>
27 
28 #include "../exceptions.h"
29 #include "../types.h"
30 #include "base.h"
31 #include "griewank.h"
32 
33 namespace pagmo { namespace problem {
34 
36 
44 {
45  // Set bounds.
46  set_lb(-600);
47  set_ub(600);
48 }
49 
52 {
53  return base_ptr(new griewank(*this));
54 }
55 
58 {
59  pagmo_assert(f.size() == 1);
60  decision_vector::size_type n = x.size();
61  double fr=4000.0;
62  double retval = 0.0;
63  double p = 1.0;
64 
65  for (decision_vector::size_type i=0; i<n; i++){ retval += x[i]*x[i];}
66  for (decision_vector::size_type i=0; i<n; i++){ p *= cos(x[i]/sqrt(i+1.0));}
67  f[0] = (retval/fr - p + 1);
68 }
69 
70 std::string griewank::get_name() const
71 {
72  return "Griewank";
73 }
74 
75 }} //namespaces
76 
77 BOOST_CLASS_EXPORT_IMPLEMENT(pagmo::problem::griewank)
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.
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
griewank(int=1)
Constructor from dimension.
Definition: griewank.cpp:43
void objfun_impl(fitness_vector &, const decision_vector &) const
Implementation of the objective function.
Definition: griewank.cpp:57
The Griewank problem.
Definition: griewank.h:52
std::string get_name() const
Get problem's name.
Definition: griewank.cpp:70
base_ptr clone() const
Clone method.
Definition: griewank.cpp:51