Network Optimization Models for Resource Allocation in Developing Military Countermeasures

Boaz Golany (), Moshe Kress (), Michal Penn () and Uriel G. Rothblum ()
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Boaz Golany: Technion--Israel Institute of Technology, Haifa 32000, Israel
Moshe Kress: Operations Research Department, Naval Postgraduate School, Monterey, California 93940
Michal Penn: Technion--Israel Institute of Technology, Haifa 32000, Israel
Uriel G. Rothblum: Technion--Israel Institute of Technology, Haifa 32000, Israel

Operations Research, 2012, vol. 60, issue 1, 48-63

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.

Keywords: arms race; network optimization; constrained shortest path (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (6)

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