Network optimization models for resource allocation in developing military countermeasures

Boaz Golany, Moshe Kress, Michal Penn, Uriel G. Rothblum

Research output: Contribution to journalArticlepeer-review

Abstract

A military arms race is characterized by an iterative development of measures and countermeasures. An attacker attempts to introduce new weapons in order to gain some advantage, whereas a defender attempts to develop countermeasures that can mitigate or even eliminate the effects of the weapons. This paper addresses the defender's decision problem: given limited resources, which countermeasures should be developed and how much should be invested in their development to minimize the damage caused by the attacker's weapons over a certain time horizon. We formulate several optimization models, corresponding to different operational settings, as constrained shortest-path problems and variants thereof. We then demonstrate the potential applicability and robustness of this approach with respect to various scenarios.

Original languageEnglish
Pages (from-to)48-63
Number of pages16
JournalOperations Research
Volume60
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • Arms race
  • Constrained shortest path
  • Network optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research

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