Air asset to mission assignment for dynamic high-threat environments in real-time
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Authors
Albrecht, Michael E.C.
Subjects
Weapon-Target Pairing
Air-Strike
Optimization
Battlespace Manager
Decision Aid
High-threat routing
Joint Fire Support
Distributed Battle Management
A-star pathfinding
Integer Programming
Air-Strike
Optimization
Battlespace Manager
Decision Aid
High-threat routing
Joint Fire Support
Distributed Battle Management
A-star pathfinding
Integer Programming
Advisors
Carlyle, W. Matthew
McLemore, Connor S.
Date of Issue
2015-03
Date
March 2015
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This thesis develops pre-processing algorithms and a mixed integer programming model that solves the route selection and asset-to-mission assignment problem in the presence of threat air-defense systems. Our model and algorithms reduce the planning timeline and coordination burden by handling the heavy computational aspects of the planning process. It takes as input current aircraft, target, and threat information and produces asset-to-mission pairing recommendations that accomplish the mission while providing routes and coordination to reduce the risk from threats by avoiding surface-to-air threats, when possible, or by adding suppression assets, if available. The resulting recommendations are created significantly faster and more reliably than can be done by existing integrated fires methods.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.