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2012 Multipath Adaptive Tabu Search for a Vehicle Control Problem
Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut Sujitjorn
J. Appl. Math. 2012: 1-20 (2012). DOI: 10.1155/2012/731623


Tabu search has become acceptable worldwide as one of the most efficient intelligent searches applied to various real-world problems. There have been different modifications made to the generic tabu search in recent years to achieve better performances. Among those reviewed in the introduction of this paper, the adaptive tabu search (ATS) has incorporated the backtracking and the adaptive search radius mechanisms that help accelerate the search and release it from a local solution lock. The paper explains an enhancement made to the ATS to accomplish multipath ATS (MATS) algorithms. Performances of the ATS and the MATS are evaluated using surface optimization problems, and results are presented in the paper. Finally, the MATS is applied to solve a real-world vehicle control problem.


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Jukkrit Kluabwang. Deacha Puangdownreong. Sarawut Sujitjorn. "Multipath Adaptive Tabu Search for a Vehicle Control Problem." J. Appl. Math. 2012 1 - 20, 2012.


Published: 2012
First available in Project Euclid: 14 December 2012

zbMATH: 1242.93090
MathSciNet: MR2889107
Digital Object Identifier: 10.1155/2012/731623

Rights: Copyright © 2012 Hindawi


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