一个线性的启发式图搜索算法

A LINEAR HEURISTIC ALGORITHM FOR GRAPH SEARCH

  • 摘要: 本文描述了一个能够改善启发函数的启发式图搜索算法.它利用搜索过程中的信息,改动启发函数h,保持搜索树上始终满足单调限制条件,使算法的最坏复杂度从B′的ON2)(L.Méró,1984)降为ON).本文还证明了新算法的可采纳性、线性的复杂度,并同算法B′作了性能比较.

     

    Abstract: This paper describes a new heuristic search algorithm with modifiable estimate.This algorithm uses the information gathered by node expansions to improve theheuristic estimate and so it keeps the so called‘consistency assumption’holding on thesearch tree constantly.The new algorithm is admissible and it reduces the worst casecomplexity of search from O(N2)of algorithm B′(L.Méró,1984)to its O(N).(N isthe size of the searched graph.)In the other part of the paper,a comparison between algorithm B’ and the newalgorithm is made.

     

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