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Multipath Adaptive Tabu Search for a Vehicle Control Problem

Author

Listed:
  • Jukkrit Kluabwang
  • Deacha Puangdownreong
  • Sarawut Sujitjorn

Abstract

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.

Suggested Citation

  • Jukkrit Kluabwang & Deacha Puangdownreong & Sarawut Sujitjorn, 2012. "Multipath Adaptive Tabu Search for a Vehicle Control Problem," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
    • Handle: RePEc:wly:jnljam:v:2012:y:2012:i:1:n:731623
    DOI: 10.1155/2012/731623
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    References listed on IDEAS

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    Cited by:

    1. Gintaras Palubeckis, 2013. "An Improved Exact Algorithm for Least‐Squares Unidimensional Scaling," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    2. Jianxue Wang & Jianming Lu & Zhaohong Bie & Shutang You & Xiaoyu Cao, 2014. "Long‐Term Maintenance Scheduling of Smart Distribution System through a PSO‐TS Algorithm," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).

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