External Memory Bidirectional Search
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 676-681.
Abstract
This paper studies external memory bidirectional search. That is, how bidirectional search algorithms can run using external memory such as hard drives or solid state drives. While external memory algorithms have been broadly studied in unidirectional search, they have not been studied in the context of bidirectional search. We show that the primary bottleneck in bidirectional search is the question of solution detection — knowing when the two search frontiers have met. We propose a method of delayed solution detection that makes external bidirectional search more efficient. Experimental results show the effectiveness of the approach.
@inproceedings{ijcai2016p102,
title = {External Memory Bidirectional Search},
author = {Sturtevant, Nathan R. and Chen, Jingwei},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {676--681},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/102},
}
TY - CPAPER TI - External Memory Bidirectional Search AU - Sturtevant, Nathan R. AU - Chen, Jingwei T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 676 EP - 681 UR - https://ijcai.org/proceedings/2016/102 ER -Copied
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