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3320.pdf

🔗 Source: optimization-online.org

📊 Size: 349 KB

📄 Pages: 26 pages

⬇️ Downloads: 53

Summary

Noam Goldberg, Sven Leyffer, and Ilya Safro introduce novel formulations for optimally responding to epidemics and cyber attacks in networks, where network nodes have probabilities of being infected and edges have probabilities of propagating the infection. The goal is to maximize the network's utility by keeping as many nodes open as possible while satisfying bounds on infection probabilities. The authors explore the relation to previous deterministic optimization models and propose a quadratic approximation that provides a lower bound and feasible solution to the original nonlinear integer program. They also devise a novel application of cover inequalities to speed up the solution using standard solvers.

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Description

Noam Goldberg, Sven Leyffer, and Ilya Safro introduce novel formulations for optimally responding to epidemics and cyber attacks in networks, where network...

Technical Information

File Format: PDF
File Size: 349 KB
Pages: 26
Language: EN
Total Downloads: 53
Last Updated: 1 month ago

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