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《Journal of Fuzhou University(Natural Science Edition)》 2006-02
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An improved “Fish-search” algorithm for information retrieval

LUO Fang-fang, CHEN Guo-long, GUO Wen-zhong (College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China)  
This paper introduces a famous dynamic web search algorithms, the “Fish-search”, and analyze its merits contrasting to general depth-first algorithm, and points out that the random of search range could lead to repeated search or overlong search time. Based on the analysis of flocking behavior of Fish school, define a parameter “dist” to control the search range and time. This paper presents an improved “Fish-search” algorithm, in which the search process could adjust the search range adaptively.
【Fund】: 福建省自然科学基金资助项目(A0410010);; 福建省科技三项资助项目(K03012);; 福建省教育厅科研资助项目(JA04155)
【CateGory Index】: TP391.3
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