Proceedings

Sparse-Memory Graph Search

Download BibTeX Cite

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.

Rong Zhou, and Eric A. Hansen. 2003. Sparse-Memory Graph Search. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1259–1267. https://ijcai.org/proceedings/2003/179
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards