TY - GEN
T1 - Single-Frontier Bidirectional Search
AU - Felner, Ariel
AU - Moldenhauer, Carsten
AU - Sturtevant, Nathan
AU - Schaeffer, Jonathan
N1 - Publisher Copyright:
© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2010/7/15
Y1 - 2010/7/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85150748468&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85150748468
T3 - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
SP - 59
EP - 64
BT - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
PB - AAAI press
T2 - 24th AAAI Conference on Artificial Intelligence, AAAI 2010
Y2 - 11 July 2010 through 15 July 2010
ER -