10 June 1994 Methodology for designing an optimum fuzzy tracker using genetic algorithms
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Abstract
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.
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Wen-Ruey Hwang, Wiley E. Thompson, "Methodology for designing an optimum fuzzy tracker using genetic algorithms", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177733; https://doi.org/10.1117/12.177733
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