Name
Abstract | ||
|---|---|---|
When applied to numerical CSPs, the branch and prune algorithm (BPA) computes a sharp covering of the solution set. The BPA is therefore impractical when the solution set is large, typically when it has a dimension larger than four or five which is often met in underconstrained problems. The purpose of this paper is to present a new search tree exploration strategy for BPA that hybridizes depth-first and breadth-first searches. This search strategy allows the BPA discovering potential solutions in different areas of the search space in early stages of the exploration, hence allowing an anytime usage of the BPA. The merits of the proposed search strategy are experimentally evaluated. |
Year | Venue | Keywords |
|---|---|---|
2009 | IJCAI | solution set,search strategy,early stage,search space,hybridizes depth-first,breadth-first search,proposed search strategy,potential solution,new search tree exploration,different area,breadth first search |
Field | DocType | Citations |
Computer science,Beam stack search,Algorithm,Beam search,Artificial intelligence,Solution set,Branch and prune,Machine learning,Search tree | Conference | 2 |
PageRank | References | Authors |
0.35 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raphaël Chenouard | 1 | 41 | 5.05 |
| Alexandre Goldsztejn | 2 | 161 | 21.42 |
| Christophe Jermann | 3 | 151 | 12.96 |