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2014 | OriginalPaper | Buchkapitel

Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers

verfasst von : Patricia Ochoa, Oscar Castillo, José Soria

Erschienen in: Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Verlag: Springer International Publishing

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Abstract

The proposal described in this chapter uses the Differential Evolution (DE) algorithm as an optimization method in which we want to dynamically adapt its parameters using fuzzy logic control systems, with the goal that the fuzzy system gives the optimal parameter of the DE algorithm to find better results, depending on the type of problems the DE is applied.

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Metadaten
Titel
Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers
verfasst von
Patricia Ochoa
Oscar Castillo
José Soria
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-05170-3_19