DocumentCode
329795
Title
Fuzzy-genetic decision optimization for positioning of military combat units
Author
Kewley, Robert H., Jr. ; Embrechts, Mark J.
Author_Institution
Decision Sci. & Eng. Syst., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
4
fYear
1998
fDate
11-14 Oct 1998
Firstpage
3658
Abstract
Fuzzy-genetic decision optimization solved a problem of positioning military combat units for optimum performance. It used a simulation model to evaluate solutions, a fuzzy logic module to map simulation outputs to a single fitness value, and a genetic algorithm to search the terrain for a near-optimal combination of unit positions. In this study, the fuzzy-genetic system outperformed a human expert during a simulated battle
Keywords
decision support systems; digital simulation; fuzzy logic; genetic algorithms; military computing; search problems; fuzzy logic module; fuzzy-genetic decision optimization; genetic algorithm; human expert; military combat unit positioning; near-optimal unit position combination; simulated battle; Computer architecture; Decision support systems; Design optimization; Fuzzy logic; Fuzzy systems; Genetic algorithms; Humans; Intelligent vehicles; Systems engineering and theory; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.726634
Filename
726634
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