Fuzzy-genetic decision optimization for positioning of military combat units

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-opti...

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Bibliographic Details
Published inConference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Vol. 4; pp. 3658 - 3663 vol.4
Main Authors Kewley, R.H., Embrechts, M.J.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 1998
Subjects
Computer architecture
Decision support systems
Design optimization
Fuzzy logic
Fuzzy systems
Genetic algorithms
Humans
Intelligent vehicles
Systems engineering and theory
Weapons
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Summary: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.
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ISBN:9780780347786
0780347781
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.1998.726634