Multi-Level Multi-Objective Programming and Optimization for Integrated Air Defense System Disruption
Abstract
The U.S. military's ability to project military force is being challenged. This research develops and demonstrates the application of three respective sensor location, relocation, and network intrusion models to provide the mathematical basis for the strategic engagement of emerging technologically advanced, highly-mobile, Integrated Air Defense Systems. First, we propose a bilevel mathematical programming model for locating a heterogeneous set of sensors to maximize the minimum exposure of an intruders penetration path through a defended region. Next, we formulate a multi-objective, bilevel optimization model to relocate surviving sensors to maximize an intruders minimal expected exposure to traverse a defended border region, minimize the maximum sensor relocation time, and minimize the total number of sensors requiring relocation. Lastly, we present a trilevel, attacker-defender-attacker formulation for the heterogeneous sensor network intrusion problem to optimally incapacitate a subset of the defenders sensors and degrade a subset of the defenders network to ultimately determine the attackers optimal penetration path through a defended network.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 14, 2018
- Accession Number
- AD1063233
Entities
People
- Aaron M. Lessin
Organizations
- Air Force Institute of Technology