Proceedings

Single-Agent Parallel Window Search: A Summary of Results

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Tools. Pages 36-40.

Abstract

We show how node ordering can be combined with parallel window search to quickly find a nearly optimal solution to single-agent problems. First, we show how node ordering by maximum g among nodes with equal f = g + h values can improve the performance of IDA*. We then consider a window search where different processes perform IDA* simultaneously on the same problem but with different cost thresholds. Finally, we combine the two ideas to produce a parallel window search algorithm in which node ordering information is shared among the different processes. Parallel window search can be used to find a nearly optimal solution quickly, improve the solution until it is optimal, and then finally guarantee optimality, depending on the amount of time available.

Curt Powley, and Richard E. Korf. 1989. Single-Agent Parallel Window Search: A Summary of Results. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 36–40. https://ijcai.org/proceedings/1989/6
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