Sparse-Memory Graph Search
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1259-1267.
Abstract
We describe a framework for reducing the space complexity of graph search algorithms such as A* that use Open and Closed lists to keep track of the frontier and interior nodes of the search space. We propose a sparse representation of the Closed list in which only a fraction of already expanded nodes need to be stored to perform the two functions of the Closed List- preventing duplicate search effort and allowing solution extraction. Our proposal is related to earlier work on search algorithms that do not use a Closed list at all [Korf and Zhang, 2000]. However, the approach we describe has several advantages that make it effective for a wider variety of problems.
@inproceedings{ijcai2003p179,
title = {Sparse-Memory Graph Search},
author = {Zhou, Rong and Hansen, Eric A.},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1259--1267},
year = {2003},
url = {https://ijcai.org/proceedings/2003/179},
}
TY - CPAPER TI - Sparse-Memory Graph Search AU - Zhou, Rong AU - Hansen, Eric A. T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1259 EP - 1267 UR - https://ijcai.org/proceedings/2003/179 ER -Copied
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