|
Class Summary |
| GRASP |
This class implements the Greedy Randomized Adaptative Search Procedure. |
| GreedyConstruction |
This class encapsulates the greedy construction to implement it as a
search procedure. |
| GreedySearchOutput |
Extends the SearchOutput so that it can provide information for greedy
based algorithms, which mainly consists in the number of candidate steps
that have been evaluated in the solution construction. |
| GreedyStatistics |
Extends the Statistics so that the number of candidate steps evaluated to build
a single solution is considered. |
| LiOGreedyTask |
This class extends LiOTask in order to provide some methods
needed to perform greedy based construction of solutions. |