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Interdicting restructuring networks with applications in illicit trafficking

Author

Listed:
  • Kosmas, Daniel
  • Sharkey, Thomas C.
  • Mitchell, John E.
  • Maass, Kayse Lee
  • Martin, Lauren
Abstract
We consider a new class of max flow network interdiction problems, where the defender is able to introduce new arcs to the network after the attacker has made their interdiction decisions. We prove properties of when this restructuring will not increase the value of the minimum cut, which has important practical interpretations for problems of disrupting drug trafficking networks. In particular, it demonstrates that disrupting lower levels of these networks will not impact their operations when replacing the disrupted participants is easy. For the bilevel mixed integer linear programming formulation of this problem, we devise a column-and-constraint generation (C&CG) algorithm to solve it. Our approach uses partial information on the feasibility of restructuring plans and is shown to be orders of magnitude faster than previous C&CG methods. We demonstrate that applying decisions from standard max flow network interdiction problems can result in significantly higher flows than interdictions that account for the restructuring.

Suggested Citation

  • Kosmas, Daniel & Sharkey, Thomas C. & Mitchell, John E. & Maass, Kayse Lee & Martin, Lauren, 2023. "Interdicting restructuring networks with applications in illicit trafficking," European Journal of Operational Research, Elsevier, vol. 308(2), pages 832-851.
    • Handle: RePEc:eee:ejores:v:308:y:2023:i:2:p:832-851
    DOI: 10.1016/j.ejor.2022.11.048
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    References listed on IDEAS

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