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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.726634
