Multipath Adaptive Tabu Search for a Vehicle Control Problem

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 th...

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Main Authors: Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut Sujitjorn
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/731623
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author Jukkrit Kluabwang
Deacha Puangdownreong
Sarawut Sujitjorn
author_facet Jukkrit Kluabwang
Deacha Puangdownreong
Sarawut Sujitjorn
author_sort Jukkrit Kluabwang
collection DOAJ
description 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.
format Article
id doaj-art-d126ed6b30a7484d94e54d053612bd97
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-d126ed6b30a7484d94e54d053612bd972025-02-03T00:59:50ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/731623731623Multipath Adaptive Tabu Search for a Vehicle Control ProblemJukkrit Kluabwang0Deacha Puangdownreong1Sarawut Sujitjorn2Control and Automation Research Unit, Power Electronics, Machines, and Control Research Group, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandDepartment of Electrical Engineering, South-East Asia University, Bangkok 10160, ThailandControl and Automation Research Unit, Power Electronics, Machines, and Control Research Group, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandTabu 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.http://dx.doi.org/10.1155/2012/731623
spellingShingle Jukkrit Kluabwang
Deacha Puangdownreong
Sarawut Sujitjorn
Multipath Adaptive Tabu Search for a Vehicle Control Problem
Journal of Applied Mathematics
title Multipath Adaptive Tabu Search for a Vehicle Control Problem
title_full Multipath Adaptive Tabu Search for a Vehicle Control Problem
title_fullStr Multipath Adaptive Tabu Search for a Vehicle Control Problem
title_full_unstemmed Multipath Adaptive Tabu Search for a Vehicle Control Problem
title_short Multipath Adaptive Tabu Search for a Vehicle Control Problem
title_sort multipath adaptive tabu search for a vehicle control problem
url http://dx.doi.org/10.1155/2012/731623
work_keys_str_mv AT jukkritkluabwang multipathadaptivetabusearchforavehiclecontrolproblem
AT deachapuangdownreong multipathadaptivetabusearchforavehiclecontrolproblem
AT sarawutsujitjorn multipathadaptivetabusearchforavehiclecontrolproblem