Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/62478

Download PDF (Published version) (Adobe Acrobat PDF, -1 bytes)

Title

Tabu search in case-based reasoning

Author(s)

Li, Feng Gang;  Ni, Zhi Wei;  Yang, Yun

Abstract

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.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of 3rd International Conference on Machine Learning and Cybernetics, Shanghai, China, 26-29 August 2004, Vol. 4, pp. 2167-2171

Publication year

2004

Keyword(s)

Abstracting;  Case-based reasoning;  CBR;  Cognitive systems;  Computer programming;  Data acquisition;  Heuristic methods;  Indexing;  Information retrieval;  Meta-heuristic;  Meta-heuristics;  Optimization;  Problem solving;  Retrieval approach;  Tabu search

Publisher

IEEE

ISBN

9780780384033, 0780384032

Publisher URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1382157

Copyright

Copyright © 2004 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed