NETWORK PROTECTION, INTERDICTION AND DESIGN UNDER UNCERTAINTY

Abstract

There are a wide range of applications in information technology, telecommunications, social analysis, transportation and logistics networks where actions are performed on the nodes/edges of the network in order to facilitate or contrast an event affecting the network. The purpose of the action can range from the preservation of connectivity when the goal is to reach all entities to the limitation of the spread of information in the presence of dangerous entities. This research focuses on optimization of these different objectives in the presence of the uncertainty inherent in the application. In particular, uncertainty can affect the existence of node connections, the positions of the nodes, and the availability of resources. Robust optimization approaches, chance constrained and Benders Decomposition methods, as well as approximate algorithms will be developed to solve these NP-hard problems.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 11, 2021
Source ID
FA86552017019

Entities

People

  • Enrico Malaguti

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Operations Research