Evolutionary programming for ASAT battle management

Author

Fogel, Lawrence J. ; Fogel, David B. ; Atmar, Wirt

Author_Institution

ORINCON Corp., San Diego, CA, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

617

Abstract

Battle management can be viewed as a combinatorial optimization problem. The task is to assign the timely firing of various weapons to prioritized targets so as to affect maximum damage. The current research focuses on antisatellite battle management. Evolutionary programming is used to search for suitable firing strategies. The results indicate that the method rapidly optimizes such strategies and can provide improvements over greedy methods. The process is well-suited for implementation on a parallel processing computer

Keywords

artificial satellites; command and control systems; military computing; optimisation; parallel programming; satellite tracking; ASAT battle management; antisatellite battle management; combinatorial optimization problem; evolutionary programming; parallel processing computer; prioritized targets; weapons; Acceleration; Communication system control; Concurrent computing; Control systems; Degradation; Explosives; Genetic programming; Global Positioning System; Military computing; Military satellites; Optimization methods; Parallel processing; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342591

Filename

342591