Search engines
[Programming models]
Classes | |
class | Gecode::Search::Statistics |
Search engine statistics More... | |
class | Gecode::Search::Options |
Search engine options More... | |
class | Gecode::DFS< T > |
Depth-first search engine. More... | |
class | Gecode::BAB< T > |
Depth-first branch-and-bound search engine. More... | |
class | Gecode::Restart< T > |
Depth-first restart best solution search engine. More... | |
Namespaces | |
namespace | Gecode::Search::Config |
Search configuration | |
Modules | |
Stop-objects for stopping search | |
Functions | |
template<class T > | |
T * | Gecode::bab (T *s, const Search::Options &o=Search::Options::def) |
Perform depth-first branch-and-bound search for subclass T of space s and options o. | |
template<class T > | |
T * | Gecode::restart (T *s, const Search::Options &o=Search::Options::def) |
Perform depth-first restart best solution search for subclass T of space s and options o. |
Detailed Description
Defines search engines. All search engines support recomputation. The behaviour of recomputation is controlled by a passing a search option object (see the class Gecode::Search::Options).
Requires
#include <gecode/search.hh>
Function Documentation
T * Gecode::bab | ( | T * | s, | |
const Search::Options & | o = Search::Options::def | |||
) | [inline] |
Perform depth-first branch-and-bound search for subclass T of space s and options o.
Additionally, s must implement a member function
virtual void constrain(const T& t)
Whenever exploration requires to add a constraint to the space c currently being explored, the engine executes c.constrain(t)
where t is the so-far best solution.
T * Gecode::restart | ( | T * | s, | |
const Search::Options & | o = Search::Options::def | |||
) | [inline] |
Perform depth-first restart best solution search for subclass T of space s and options o.
Additionally, s must implement a member function
virtual void constrain(T& t)
Whenever exploration requires to add a constraint to the space c currently being explored, the engine executes c.constrain(t)
where t is the so-far best solution.