Abstract
On the surface, bidirectional search (BDS) is an attractive idea with the potential for significant asymptotic reductions in search effort. However, the results in practice often fall far short of expectations. We introduce a new bidirectional search algorithm, Single-Frontier Bidirectional Search (SFBDS). Unlike traditional BDS which keeps two frontiers, SFBDS uses a single frontier. Each node in the tree can be seen as an independent task of finding the shortest path between the current start and current goal. At a particular node we can decide to search from start to goal or from goal to start, choosing the direction with the highest potential for minimizing the total work done. Theoretical results give insights as to when this approach will work and experimental data validates the algorithm for a broad range of domains.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
| Publisher | AAAI press |
| Pages | 59-64 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781577354642 |
| State | Published - 15 Jul 2010 |
| Externally published | Yes |
| Event | 24th AAAI Conference on Artificial Intelligence, AAAI 2010 - Atlanta, United States Duration: 11 Jul 2010 → 15 Jul 2010 |
Publication series
| Name | Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
|---|
Conference
| Conference | 24th AAAI Conference on Artificial Intelligence, AAAI 2010 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 11/07/10 → 15/07/10 |
Bibliographical note
Publisher Copyright:© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This research was supported by the Israeli Science Foundation (ISF) grants No. 728/06 and 305/09, and by iCORE.
| Funders | Funder number |
|---|---|
| Israel Science Foundation | 305/09, 728/06 |
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