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Convoy movement problem: a civilian perspective

Author

Listed:
  • Azar Sadeghnejad-Barkousaraie

    (University at Buffalo State University of New York)

  • Rajan Batta

    (University at Buffalo State University of New York)

  • Moises Sudit

    (University at Buffalo State University of New York)

Abstract

We study the convoy movement problem in peacetime from a civilian perspective by seeking to minimize civilian traffic disruptions. We develop an exact hybrid algorithm that combines the k-shortest path algorithm along with finding a minimum weighted k-clique in a k-partite graph. Through this coupling scheme, we are able to exactly solve large instances of the convoy movement problem without relaxing many of its complicating constraints. An experimental study is performed based on pseudo-transportation networks to illustrate the computational viability of the method as well as policy implications.

Suggested Citation

  • Azar Sadeghnejad-Barkousaraie & Rajan Batta & Moises Sudit, 2017. "Convoy movement problem: a civilian perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 14-33, January.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:1:d:10.1057_s41274-016-0001-x
    DOI: 10.1057/s41274-016-0001-x
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    References listed on IDEAS

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    1. P N Ram Kumar & T T Narendran, 2011. "On the usage of Lagrangean Relaxation for the convoy movement problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 722-728, April.
    2. R Gopalan & N S Narayanaswamy, 2009. "Analysis of algorithms for an online version of the convoy movement problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1230-1236, September.
    3. Ram Gopalan, 2015. "Computational complexity of convoy movement planning problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 82(1), pages 31-60, August.
    4. Goldstein, Darin & Shehab, Tariq & Casse, Juan & Lin, Hsiu-Chin, 2010. "On the formulation and solution of the convoy routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 520-533, July.
    5. Jin Y. Yen, 1971. "Finding the K Shortest Loopless Paths in a Network," Management Science, INFORMS, vol. 17(11), pages 712-716, July.
    6. A L Tuson & S A Harrison, 2005. "Problem difficulty of real instances of convoy planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 763-775, July.
    7. Stuart E. Dreyfus, 1969. "An Appraisal of Some Shortest-Path Algorithms," Operations Research, INFORMS, vol. 17(3), pages 395-412, June.
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    Cited by:

    1. Mokhtar, Hamid & Krishnamoorthy, Mohan & Dayama, Niraj Ramesh & Kumar, P.N. Ram, 2020. "New approaches for solving the convoy movement problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    2. Alan J. Maniamkot & P. N. Ram Kumar & Mohan Krishnamoorthy & Hamid Mokhtar & Sridharan Rajagopalan, 2022. "Hybridised ant colony optimisation for convoy movement problem," Annals of Operations Research, Springer, vol. 315(2), pages 847-866, August.

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