Tabu search in case-based reasoning

被引：0

作者：

Li, FG ^{[1
]}

Ni, ZW ^{[1
]}

Yang, Y ^{[1
]}

机构：

[1] Hefei Univ Technol, Sch Management, Fac Informat Management, Hefei 230009, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

meta-heuristic; case-based reasoning; tabu search; retrieval approach;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The successful design of case-based reasoning(CBR) systems depends chiefly on high-efficiency retrieval strategy of case library. In this paper, the author focuses on an original case retrieval approach using Tabu Search(TS) method. TS is a meta-heuristic approach designed skillfully for finding a suboptimal solution of combinational optimization problems. It is shown how this method can be used to speed up the case retrieval. The preliminary results obtained by our approach let us conclude that TS is a robust and promising technique to be applied into CBR.

引用

页码：2167 / 2171

页数：5

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