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Exact algorithms and bounds for the dynamic assignment interdiction problem

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  • Jorge A. Sefair
  • J. Cole Smith

Abstract

We study a multi‐stage dynamic assignment interdiction (DAI) game in which two agents, a user and an attacker, compete in the underlying bipartite assignment graph. The user wishes to assign a set of tasks at the minimum cost, and the attacker seeks to interdict a subset of arcs to maximize the user's objective. The user assigns exactly one task per stage, and the assignment costs and interdiction impacts vary across stages. Before any stage commences in the game, the attacker can interdict arcs subject to a cardinality constraint. An interdicted arc can still be used by the user, but at an increased assignment cost. The goal is to find an optimal sequence of assignments, coupled with the attacker's optimal interdiction strategy. We prove that this problem is strongly NP‐hard, even when the attacker can interdict only one arc. We propose an exact exponential‐state dynamic‐programming algorithm for this problem as well as lower and upper bounds on the optimal objective function value. Our bounds are based on classical interdiction and robust optimization models, and on variations of the DAI game. We examine the efficiency of our algorithms and the quality of our bounds on a set of randomly generated instances. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 373–387, 2017

Suggested Citation

  • Jorge A. Sefair & J. Cole Smith, 2017. "Exact algorithms and bounds for the dynamic assignment interdiction problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 373-387, August.
    • Handle: RePEc:wly:navres:v:64:y:2017:i:5:p:373-387
    DOI: 10.1002/nav.21753
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    References listed on IDEAS

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    1. Cyrus Derman & Gerald J. Lieberman & Sheldon M. Ross, 1972. "A Sequential Stochastic Assignment Problem," Management Science, INFORMS, vol. 18(7), pages 349-355, March.
    2. Juan S. Borrero & Oleg A. Prokopyev & Denis Sauré, 2016. "Sequential Shortest Path Interdiction with Incomplete Information," Decision Analysis, INFORMS, vol. 13(1), pages 68-98, March.
    3. Zhi-Long Chen & Guruprasad Pundoor, 2006. "Order Assignment and Scheduling in a Supply Chain," Operations Research, INFORMS, vol. 54(3), pages 555-572, June.
    4. Michael Z. Spivey & Warren B. Powell, 2004. "The Dynamic Assignment Problem," Transportation Science, INFORMS, vol. 38(4), pages 399-419, November.
    5. Arash Khatibi & Golshid Baharian & Estelle R. Kone & Sheldon H. Jacobson, 2014. "The sequential stochastic assignment problem with random success rates," IISE Transactions, Taylor & Francis Journals, vol. 46(11), pages 1169-1180, November.
    6. Arash Khatibi & Sheldon H. Jacobson, 2016. "Doubly Stochastic Sequential Assignment Problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(2), pages 124-137, March.
    7. Pentico, David W., 2007. "Assignment problems: A golden anniversary survey," European Journal of Operational Research, Elsevier, vol. 176(2), pages 774-793, January.
    8. Vladimir Stozhkov & Vladimir Boginski & Oleg A. Prokopyev & Eduardo L. Pasiliao, 2017. "A simple greedy heuristic for linear assignment interdiction," Annals of Operations Research, Springer, vol. 249(1), pages 39-53, February.
    9. Behdad Beheshti & Oleg A. Prokopyev & Eduardo L. Pasiliao, 2016. "Exact solution approaches for bilevel assignment problems," Computational Optimization and Applications, Springer, vol. 64(1), pages 215-242, May.
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    Cited by:

    1. Smith, J. Cole & Song, Yongjia, 2020. "A survey of network interdiction models and algorithms," European Journal of Operational Research, Elsevier, vol. 283(3), pages 797-811.
    2. Claudio Contardo & Jorge A. Sefair, 2022. "A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 890-908, March.
    3. Tayyebi, Javad & Mitra, Ankan & Sefair, Jorge A., 2023. "The continuous maximum capacity path interdiction problem," European Journal of Operational Research, Elsevier, vol. 305(1), pages 38-52.

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