Network Design for Reliability and Resilience to Attack

Abstract

We de ne and solve two network-design problems. In the first, (1) a defender uses limited resources to select a portfolio of paths or design a sub-network; (2) an attacker then uses limited attack resources to destroy network arcs, and then (3) the defender operates the damaged network optimally by finding a shortest path. The solution identfies a network design that minimizes post-attack path length. We show how the tri-level problem is equivalent to a single-level mixed integer program (MIP) with an exponential number of rows and columns, and solve that MIP using simultaneous row and column generation. Methods extend to network operations defined through general flow constructs. The second problem considers a stochastic logistics network where arcs are present randomly and independently. Shipping from a source to a destination may be delayed until a path connecting the two is available. In the presence of storage capacity, cargo can be shipped partway. The problem's solution identifies the storage locations that minimize the cargo's waiting time for shipment. We develop and demonstrate practical methods to solve this #P-complete problem on a model instance derived from a Department of Defense humanitarian shipping network.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA607861

Entities

People

  • Christian Klaus

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Applied Mathematics
  • Case Studies
  • Data Sets
  • Department Of Defense
  • Flow Network
  • Hazardous Materials
  • Humanitarian Assistance
  • Infrastructure
  • Linear Programming
  • Mathematical Models
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Aerospace logistics and air mobility.
  • Computer Networking
  • Operations Research