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Soft Computing
Erschienen in: Soft Computing 1/2020

15.06.2019 | Focus

Dynamic parameter adaptation in the harmony search algorithm for the optimization of interval type-2 fuzzy logic controllers

verfasst von: Fevrier Valdez, Cinthia Peraza

Erschienen in: Soft Computing | Ausgabe 1/2020

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Abstract

At the present time there are several types of metaheuristics which have been used to solve various types of problems in the real world. These metaheuristics contain parameters that are usually fixed throughout the iterations. However, various techniques exist to adjust the parameters of an algorithm such as probabilistic, fuzzy logic, among others. This work describes the methodology and equations for building Triangular and Gaussian interval type-2 membership functions, and this methodology was applied to the optimization of a benchmark control problem with an interval type-2 fuzzy logic controller. To validate in the best way the effect of uncertainty we perform experiments using noise (Pulse generator) and without noise. Also, a statistical z-test is presented to verify the effectiveness of the proposed method. The main contribution of this article is the proposed use of the theory of interval type-2 fuzzy logic to the dynamic adjustment of parameters for the harmony search algorithm and then its application to the optimal design of interval type-2 fuzzy logic controller.
Vorheriger Artikel Multi-objective optimization of cost-effective and customer-centric closed-loop supply chain management model in T-environment
Nächster Artikel Optimization of fuzzy controller design using a Differential Evolution algorithm with dynamic parameter adaptation based on Type-1 and Interval Type-2 fuzzy systems

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Metadaten
Titel
Dynamic parameter adaptation in the harmony search algorithm for the optimization of interval type-2 fuzzy logic controllers
verfasst von
Fevrier Valdez
Cinthia Peraza
Publikationsdatum
15.06.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 1/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04124-x

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