Survivable network design under optimal and heuristic interdiction scenarios

J. Cole Smith, Churlzu Lim, Fransisca Sudargho

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

We examine the problem of building or fortifying a network to defend against enemy attacks in various scenarios. In particular, we examine the case in which an enemy can destroy any portion of any arc that a designer constructs on the network, subject to some interdiction budget. This problem takes the form of a three-level, two-player game, in which the designer acts first to construct a network and transmit an initial set of flows through the network. The enemy acts next to destroy a set of constructed arcs in the designer's network, and the designer acts last to transmit a final set of flows in the network. Most studies of this nature assume that the enemy will act optimally; however, in real-world scenarios one cannot necessarily assume rationality on the part of the enemy. Hence, we prescribe optimal network design algorithms for three different profiles of enemy action: an enemy destroying arcs based on capacities, based on initial flows, or acting optimally to minimize our maximum profits obtained from transmitting flows.

Original languageEnglish (US)
Pages (from-to)181-199
Number of pages19
JournalJournal of Global Optimization
Volume38
Issue number2
DOIs
StatePublished - Jun 2007
Externally publishedYes

Keywords

  • Game theory
  • Integer programming
  • Network design
  • Network interdiction

ASJC Scopus subject areas

  • Control and Optimization
  • Applied Mathematics
  • Business, Management and Accounting (miscellaneous)
  • Computer Science Applications
  • Management Science and Operations Research

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