A Methodology for Missile Countermeasures Optimization under Uncertainty

The missile countermeasures optimization problem is a complex strategy optimization problem that combines aircraft maneuvers with additional countermeasures in an attempt to survive attack from a single surface-launched, anti-aircraft missile. Classic solutions require the evading aircraft to execut...

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Bibliographic Details
Published in:Evolutionary computation 2002-06, Vol.10 (2), p.129-149
Main Author: Moore, Frank W.
Format: Article
Language:English
Subjects:
Aircraft
Artificial Intelligence
Decision Theory
Genetic programming
Mathematical Computing
missile countermeasures
Models, Theoretical
Operations Research
strategy optimization
uncertainty
Warfare
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Summary:The missile countermeasures optimization problem is a complex strategy optimization problem that combines aircraft maneuvers with additional countermeasures in an attempt to survive attack from a single surface-launched, anti-aircraft missile. Classic solutions require the evading aircraft to execute specific sequences of maneuvers at precise distances from the pursuing missile and do not effectively account for uncertainty about the type and/or current state of the missile. This paper defines a new methodology for solving the missile countermeasures optimization problem under conditions of uncertainty. The resulting genetic programming system evolves programs that combine maneuvers with such countermeasures as chaff, flares, and jamming to optimize aircraft survivability. This methodology may be generalized to solve strategy optimization problems for intelligent, autonomous agents operating under conditions of uncertainty.
ISSN:1063-6560
1530-9304
DOI:10.1162/106365602320169820