Date of Award
12-1-2018
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Operational Sciences
First Advisor
Darryl K. Ahner, PhD
Abstract
The problem of targeting and engaging individual missiles (targets) with an arsenal of interceptors (weapons) is known as the weapon target assignment problem. This problem has been well-researched since the seminal work in 1958. There are two distinct categories of the weapon target assignment problem: static and dynamic. The static weapon target assignment problem considers a single instance in which a known number of incoming missiles is to be engaged with a finite number of interceptors. By contrast, the dynamic weapon target assignment problem considers either follow on engagement(s) should the first engagement(s) fail, a subsequent salvo of incoming missiles, or both. This research seeks to define and solve a realistic dynamic model. First, assignment heuristics and metaheuristics are developed to provide rapid near-optimal solutions to the static weapon target assignment. Next, a technique capable of determining how many of each interceptor type to reserve for a second salvo by means of approximate dynamic programming is developed. Lastly, a model that realistically considers erratic flight paths of incoming missiles and determines assignments and firing sequences of interceptors within a simulation to minimize the number of hits to a protected asset is developed. Additionally, the first contemporary survey of the weapon target assignment problem since 1985 is presented. Collectively, this work extends the research of missile defense into practical application more so than currently is found within the literature.
AFIT Designator
AFIT-ENS-DS-18-D-016
DTIC Accession Number
AD1067720
Recommended Citation
Kline, Alexander G., "Real-Time Heuristics and Metaheuristics for Static and Dynamic Weapon Target Assignments" (2018). Theses and Dissertations. 1942.
https://scholar.afit.edu/etd/1942