DocumentCode :
2286606
Title :
A coevolutionary approach to course of action generation and visualization in multi-sided conflicts
Author :
Suantak, Liana ; Hillis, David ; Schlabach, Jerry ; Rozenblit, Jerzy W. ; Barnes, Michael
Author_Institution :
Arizona Univ., Tucson, AZ, USA
Volume :
2
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
1973
Abstract :
The current state of military operations includes many stability and support (SASO), multi-sided conflicts. The research presented in this paper attempts to address this complex environment by creating a SASO simulation, coevolutionary generation of courses-of-actions (COAs) for each side, and visualization tools for analysis of the resulting COAs. The SASO simulation is significantly different from previous systems because it incorporates non-conventional warfare units such as terrorists and media. The coevolution algorithm is different because it allows all sides of the conflict to evolve their COAs. The visualization tools are important because SASO doctrine is not as well developed as conventional warfare doctrine. Therefore, visual analysis and understanding of a system that is not well defined provides insight for future modeling and verification.
Keywords :
data visualisation; evolutionary computation; military systems; stability criteria; COA; SASO simulation; coevolution algorithm; coevolutionary approach; conventional warfare doctrine; courses-of-actions; multisided conflicts; non conventional warfare units; stability functions; support functions; visual analysis; visual understanding; visualization tools; Analytical models; Decision making; Genetic algorithms; Government; Laboratories; Stability; Terrorism; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244701
Filename :
1244701
Link To Document :
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