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Erschienen in:
Intercriteria Analysis and Arithmetic Functions Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Interval Type-2 Fuzzy Logic Dynamic Mutation and Crossover Parameter Adaptation in a Fuzzy Differential Evolution Method

verfasst von : Patricia Ochoa, Oscar Castillo, José Soria

Erschienen in: Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Verlag: Springer International Publishing

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Abstract

In this paper we consider the Differential Evolution (DE) algorithm by using fuzzy logic to make dynamic changes in the mutation (F) and crossover (Cr) parameters separately, and this modification of the algorithm we can call it the Fuzzy Differential Evolution algorithm (FDE). A comparison of the FDE algorithm using type-1 fuzzy logic and interval type-2 fuzzy logic is performed for a set of Benchmark functions.

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Vorheriges Kapitel Spatiotemporal Parameter Estimation of Thermal Treatment Process via Initial Condition Reconstruction Using Neural Networks
Nächstes Kapitel Intuitionistic Fuzzy Evaluations for the Analysis of a Student’s Knowledge in University e-Learning Courses
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Metadaten
Titel
Interval Type-2 Fuzzy Logic Dynamic Mutation and Crossover Parameter Adaptation in a Fuzzy Differential Evolution Method
verfasst von
Patricia Ochoa
Oscar Castillo
José Soria
Copyright-Jahr
2019
Buch
Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Print ISBN: 978-3-319-78930-9

Electronic ISBN: 978-3-319-78931-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-78931-6_5