Abstract
The paper considers the peculiarities of the genetic algorithm usage when adjusting the neural and fuzzy controllers to control the dynamic objects. Main attention is paid to the matters concerning formation of fitness function, whose computation is the key moment in the genetic algorithm operation. The joint use of the fitness qualitative and quantitative assessments is suggested. For this purpose notions of fuzzy trajectory and fuzzy fitness are introduced. The examples of computer simulation are shown.
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© 2002 Springer Science+Business Media New York
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Burakov, M.V., Konovalov, A.S. (2002). Peculiarities of Genetic Algorithm Usage When Synthesizing Neural and Fuzzy Regulators. In: Sołdek, J., Pejaś, J. (eds) Advanced Computer Systems. The Springer International Series in Engineering and Computer Science, vol 664. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8530-9_3
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DOI: https://doi.org/10.1007/978-1-4419-8530-9_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4635-7
Online ISBN: 978-1-4419-8530-9
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