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PaGMO
1.1.5
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The Griewank problem. More...
#include <griewank.h>
Public Member Functions | |
| griewank (int=1) | |
| Constructor from dimension. More... | |
| base_ptr | clone () const |
| Clone method. | |
| std::string | get_name () const |
| Get problem's name. More... | |
 Public Member Functions inherited from pagmo::problem::base | |
| base (int, int=0, int=1, int=0, int=0, const double &=0) | |
| Constructor from global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| base (int, int, int, int, int, const std::vector< double > &) | |
| Constructor from global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| base (const double &, const double &, int, int=0, int=1, int=0, int=0, const double &=0) | |
| Constructor from values for lower and upper bounds, global dimension, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| base (const decision_vector &, const decision_vector &, int=0, int=1, int=0, int=0, const double &=0) | |
| Constructor from upper/lower bounds, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| template<std::size_t N> | |
| base (const double(&v1)[N], const double(&v2)[N], int ni=0, int nf=1, int nc=0, int nic=0, const double &c_tol=0) | |
| Constructor from raw arrays, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| template<class Iterator1 , class Iterator2 > | |
| base (Iterator1 start1, Iterator1 end1, Iterator2 start2, Iterator2 end2, int ni=0, int nf=1, int nc=0, int nic=0, const double &c_tol=0) | |
| Constructor from iterators, integer dimension, fitness dimension, global constraints dimension, inequality constraints dimension and constraints tolerance. More... | |
| virtual | ~base () |
| Trivial destructor. More... | |
| std::string | human_readable () const |
| Return human readable representation of the problem. More... | |
| virtual std::string | human_readable_extra () const |
| Extra information in human readable format. More... | |
| bool | operator== (const base &) const |
| Equality operator. More... | |
| bool | operator!= (const base &) const |
| Inequality operator. More... | |
| bool | is_compatible (const base &) const |
| Compatibility operator. More... | |
| bool | compare_x (const decision_vector &, const decision_vector &) const |
| Compare decision vectors. More... | |
| bool | verify_x (const decision_vector &) const |
| Verify compatibility of decision vector x with problem. More... | |
| bool | compare_fc (const fitness_vector &, const constraint_vector &, const fitness_vector &, const constraint_vector &) const |
| Simultaneous fitness-constraint comparison. More... | |
| virtual void | pre_evolution (population &) const |
| Pre-evolution hook. More... | |
| virtual void | post_evolution (population &) const |
| Post-evolution hook. More... | |
| virtual void | set_sparsity (int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
| Sets the sparsity pattern of the gradient. More... | |
| const decision_vector & | get_lb () const |
| Lower bounds getter. More... | |
| const decision_vector & | get_ub () const |
| Upper bounds getter. More... | |
| void | set_bounds (const decision_vector &, const decision_vector &) |
| Bounds setter from pagmo::decision_vector. More... | |
| template<class Iterator1 , class Iterator2 > | |
| void | set_bounds (Iterator1 start1, Iterator1 end1, Iterator2 start2, Iterator2 end2) |
| Bounds setter from iterators. More... | |
| template<std::size_t N> | |
| void | set_bounds (const double(&v1)[N], const double(&v2)[N]) |
| Bounds setter from raw arrays. More... | |
| void | set_bounds (const double &, const double &) |
| Set bounds to specified values. More... | |
| void | set_bounds (int, const double &, const double &) |
| Set bounds to specified values. More... | |
| void | set_lb (const decision_vector &) |
| Set lower bounds from pagmo::decision_vector. More... | |
| void | set_lb (int, const double &) |
| Set specific lower bound to value. More... | |
| void | set_lb (const double &) |
| Set all lower bounds to value. More... | |
| template<class Iterator > | |
| void | set_lb (Iterator start, Iterator end) |
| Lower bounds setter from iterators. More... | |
| template<std::size_t N> | |
| void | set_lb (const double(&v)[N]) |
| Lower bounds setter from raw array. More... | |
| void | set_ub (const decision_vector &) |
| Set upper bounds from pagmo::decision_vector. More... | |
| void | set_ub (int, const double &) |
| Set specific upper bound to value. More... | |
| void | set_ub (const double &) |
| Set all upper bounds to value. More... | |
| template<class Iterator > | |
| void | set_ub (Iterator start, Iterator end) |
| Upper bounds setter from iterators. More... | |
| template<std::size_t N> | |
| void | set_ub (const double(&v)[N]) |
| Upper bounds setter from raw array. More... | |
| unsigned int | get_fevals () const |
| Return number of function evaluations. More... | |
| unsigned int | get_cevals () const |
| Return number of constraints function evaluations. More... | |
| size_type | get_dimension () const |
| Return global dimension. More... | |
| size_type | get_i_dimension () const |
| Return integer dimension. More... | |
| f_size_type | get_f_dimension () const |
| Return fitness dimension. More... | |
| c_size_type | get_c_dimension () const |
| Return global constraints dimension. More... | |
| c_size_type | get_ic_dimension () const |
| Return inequality constraints dimension. More... | |
| const std::vector< double > & | get_c_tol () const |
| Return constraints tolerance. More... | |
| double | get_diameter () const |
| Get the diameter of the problem. More... | |
| constraint_vector | compute_constraints (const decision_vector &) const |
| Compute constraints and return constraint vector. More... | |
| void | compute_constraints (constraint_vector &, const decision_vector &) const |
| Compute constraints and write them into contraint vector. More... | |
| bool | compare_constraints (const constraint_vector &, const constraint_vector &) const |
| Compare constraint vectors. More... | |
| bool | test_constraint (const constraint_vector &, const c_size_type &) const |
| Test i-th constraint of c (using tolerance information). More... | |
| bool | feasibility_x (const decision_vector &) const |
| Test feasibility of decision vector. More... | |
| bool | feasibility_c (const constraint_vector &) const |
| Test feasibility of constraint vector. More... | |
| fitness_vector | objfun (const decision_vector &) const |
| Return fitness of pagmo::decision_vector. More... | |
| void | objfun (fitness_vector &, const decision_vector &) const |
| Write fitness of pagmo::decision_vector into pagmo::fitness_vector. More... | |
| bool | compare_fitness (const fitness_vector &, const fitness_vector &) const |
| Compare fitness vectors. More... | |
| void | reset_caches () const |
| Reset internal caches. More... | |
| const std::vector< constraint_vector > & | get_best_c (void) const |
| Get the best known constraint vector. More... | |
| const std::vector< decision_vector > & | get_best_x (void) const |
| Get the best known decision vector. More... | |
| const std::vector< fitness_vector > & | get_best_f (void) const |
| Get the best known fitness vector. More... | |
| void | set_best_x (const std::vector< decision_vector > &) |
| Sets the best known decision vectors. More... | |
Protected Member Functions | |
| void | objfun_impl (fitness_vector &, const decision_vector &) const |
| Implementation of the objective function. | |
| Protected Member Functions inherited from pagmo::problem::base | |
| virtual bool | equality_operator_extra (const base &) const |
| Extra requirements for equality. More... | |
| virtual bool | compare_fc_impl (const fitness_vector &, const constraint_vector &, const fitness_vector &, const constraint_vector &) const |
| Implementation of simultaneous fitness-constraint comparison. More... | |
| void | estimate_sparsity (const decision_vector &, int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
| Heuristics to estimate the sparsity pattern of the problem. More... | |
| void | estimate_sparsity (int &lenG, std::vector< int > &iGfun, std::vector< int > &jGvar) const |
| Heuristics to estimate the sparsity pattern of the problem. More... | |
| virtual void | compute_constraints_impl (constraint_vector &, const decision_vector &) const |
| Implementation of constraint computation. More... | |
| virtual bool | compare_constraints_impl (const constraint_vector &, const constraint_vector &) const |
| Implementation of constraint vector comparison. More... | |
| virtual bool | compare_fitness_impl (const fitness_vector &, const fitness_vector &) const |
| Implementation of fitness vectors comparison. More... | |
Friends | |
| class | boost::serialization::access |
Additional Inherited Members | |
| Public Types inherited from pagmo::problem::base | |
| typedef decision_vector::size_type | size_type |
| Problem's size type: the same as pagmo::decision_vector's size type. | |
| typedef fitness_vector::size_type | f_size_type |
| Fitness' size type: the same as pagmo::fitness_vector's size type. | |
| typedef constraint_vector::size_type | c_size_type |
| Constraints' size type: the same as pagmo::constraint_vector's size type. | |
| Static Public Attributes inherited from pagmo::problem::base | |
| static const std::size_t | cache_capacity = 5 |
| Capacity of the internal caches. | |
The Griewank problem.
This is a box-constrained continuous single-objecive problem. The objective function is the generalised n-dimensional Griewank function:
![\[ F\left(x_1,\ldots,x_n\right) = \sum_{i=1}^n x_i^2 / 4000 - \prod_{i=1}^n\cos\frac{x_i}{\sqrt{i}}, \quad x_i \in \left[ -600,600 \right]. \]](form_67.png)
The global minimum is in 
, where 
.
Definition at line 52 of file griewank.h.
| pagmo::problem::griewank::griewank | ( | int | n = 1 | ) |
Constructor from dimension.
Will construct an n dimensional Griewank problem.
| [in] | n | integer dimension of the problem. |
Definition at line 43 of file griewank.cpp.
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virtual |
Get problem's name.
Default implementation will return the problem's mangled C++ name.
Reimplemented from pagmo::problem::base.
Definition at line 70 of file griewank.cpp.
1.8.9.1
