Single-agent parallel window search: a summary of results

  • Authors:

  • Curt Powley;Richard E. Korf

  • Affiliations:

  • Computer Science Department, University of California, Los Angeles, Los Angeles, CA;Computer Science Department, University of California, Los Angeles, Los Angeles, CA

  • Venue:
  • IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1989

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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 I = 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.