Speculative search: An efficient search algorithm for limited memory

M. Gooley, B. Wah
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引用次数: 2

Abstract

The authors present a novel algorithm, speculative branch and bound, for performing heuristic search in restricted memory. Speculative branch-and-bound combines elements of best-first and depth-first searches. The authors describe the search and a variant, SIDA* that is analogous to A*. They show how they are related to such searches as IDA* and MA* show how to add pruning to SIDA* and give performance results. SIDA* is superior to IDA* and competitive with MA* in the number of nodes it expands, and its overhead lies between theirs.<>
推测搜索:有限内存下的有效搜索算法
提出了一种在有限内存条件下进行启发式搜索的新算法——推测分支定界算法。投机分支定界结合了最佳优先和深度优先搜索的元素。作者描述了搜索和一个类似于a *的变体SIDA*。它们展示了它们与IDA*和MA*等搜索的关系,展示了如何向SIDA*添加修剪并给出性能结果。在扩展的节点数量上,SIDA*优于IDA*并与MA*竞争,其开销介于两者之间。
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