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Methodology for designing an optimum fuzzy tracker using genetic algorithms

A methodology for designing an optimum fuzzy tracker is presented. The method uses genetic algorithms and is based upon minimizing a weighted combination of performance criteria. The resulting fuzzy tracker gives a performance that is superior to that of traditional trackers and shows a marked improvement over fuzzy trackers designed without the use of genetic algorithms. An application is provided to illustrate the effectiveness of the methodology.