Modern network interdiction problems and algorithms

N/ACitations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A network interdiction problem usually involves two players who compete in a min-max or max-min game. One player, the network owner, tries to optimize its objective over the network, for example, as measured by a shortest path, maximum flow, or minimum cost flow. The opposing player, called the interdictor, alters the owner's network to maximally impair the owner's objective (e.g., by destroying arcs that maximize the owner's shortest path). This chapter summarizes the impressive recent development of this field. The first part of this chapter emphasizes interdiction foundations, applications, and emerging research areas. The links between this field and business competition models are then developed, followed by a comparison of interdiction research with parallel developments in robust optimization and survivable network design.

Cite

CITATION STYLE

APA

Smith, J. C., Prince, M., & Geunes, J. (2013). Modern network interdiction problems and algorithms. In Handbook of Combinatorial Optimization (Vol. 3–5, pp. 1949–1987). Springer New York. https://doi.org/10.1007/978-1-4419-7997-1_61

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free