基础(线性代数)
增量启发式搜索
图论
计算机科学
数学优化
图形
理论计算机科学
启发式
双向搜索
财产(哲学)
搜索算法
算法
数学
波束搜索
人工智能
认识论
哲学
组合数学
几何学
作者
Peter Hart,Nils J. Nilsson,Bertram Raphael
出处
期刊:IEEE Transactions on Systems Science and Cybernetics
[Institute of Electrical and Electronics Engineers]
日期:1968-01-01
卷期号:4 (2): 100-107
被引量:12029
标识
DOI:10.1109/tssc.1968.300136
摘要
Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the development of efficient search procedures. Moreover, there is no adequate conceptual framework within which the various ad hoc search strategies proposed to date can be compared. This paper describes how heuristic information from the problem domain can be incorporated into a formal mathematical theory of graph searching and demonstrates an optimality property of a class of search strategies.
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