mets::evaluable_solution Class Reference

A copyable and evaluable solution implementation,. More...

`#include <model.hh>`

Inheritance diagram for mets::evaluable_solution:

## Public Member Functions | |

virtual gol_type | cost_function () const =0 |

Cost function to be minimized. |

A copyable and evaluable solution implementation,.

All you need, if you implement your own mets::solution_recorder, is to derive from the almost empty mets::feasible_solution. However, if you want to use the provided mets::best_ever_recorder you need to derive from this class (that also defines an interface to copy and evaluate a solution).

**See also:**- mets::best_ever_recorder

virtual gol_type mets::evaluable_solution::cost_function | ( | ) | const` [pure virtual]` |

Cost function to be minimized.

The cost function is the target that the search algorithm tries to minimize.

You must implement this for your problem.

Implemented in mets::permutation_problem, and pcl::GlobalHypothesesVerification< ModelT, SceneT >::SAModel.

The documentation for this class was generated from the following file: