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Tabu search in case-based reasoning

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conference contribution
posted on 2024-07-11, 12:53 authored by L. I. Feng-Gang, N. I. Zhi-Wei, Yun YangYun Yang
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.

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ISBN

780384032

Journal title

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Conference name

2004 International Conference on Machine Learning and Cybernetics

Volume

4

Pagination

4 pp

Publisher

IEEE

Copyright statement

Copyright © 2004 IEEE. The published version is reproduced 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.

Language

eng

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