Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

Version 1 : Received: 14 June 2021 / Approved: 15 June 2021 / Online: 15 June 2021 (11:20:20 CEST)

A peer-reviewed article of this Preprint also exists.

Ochoa, P.; Castillo, O.; Melin, P.; Soria, J. Differential Evolution with Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers. Axioms 2021, 10, 194. Ochoa, P.; Castillo, O.; Melin, P.; Soria, J. Differential Evolution with Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers. Axioms 2021, 10, 194.

Journal reference: Axioms 2021, 10, 194
DOI: 10.3390/axioms10030194

Abstract

This work is mainly focused on improving the differential evolution algorithm with the utilization of shadowed and general type 2 fuzzy systems to dynamically adapt one of the parameters of the evolutionary method. In this case, the mutation parameter is dynamically moved during the evolution process by using a shadowed and general type-2 fuzzy systems. The main idea of this work is to make a performance comparison between using shadowed and general type 2 fuzzy systems as controllers of the mutation parameter in differential evolution. The performance is compared with the problem of optimizing fuzzy controllers for a D.C. Motor. Simulation results show that general type-2 fuzzy systems are better when higher levels of noise are considered in the controller.

Keywords

Shadowed Type-2 Fuzzy Sets; Generalized Type-2 Fuzzy Systems; Differential Evolution algorithm

Subject

MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory

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