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Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution for Optimal Design of Fuzzy Controllers
| Content Provider | MDPI |
|---|---|
| Author | Castillo, Oscar Peraza, Cinthia Ochoa, Patricia Amador-Angulo, Leticia Melin, Patricia Park, Yongjin Geem, Zong Woo |
| Copyright Year | 2021 |
| Description | This article mainly focuses on the utilization of shadowed type-2 fuzzy systems used to achieve the goal of dynamically adapting the parameters of two already known algorithms in the literature: the harmony search and the differential evolution algorithms. It has already been established that type-2 fuzzy logic enhances the performance of metaheuristics by enabling parameter adaptation; however, the utilization of fuzzy logic results in an increased execution time. For this reason, in this article, the shadowed type-2 fuzzy approach is put forward as a way of reducing execution time, while maintaining the good results that the complete type-2 fuzzy model produces. The harmony search and differential evolution algorithms with shadowed type-2 parameter adaptations were applied to the problem of optimally designing fuzzy controllers. The simulations were performed with the controllers working in an ideal situation, and then with a real situation under different noise levels in order to reach a conclusion regarding the performance of each of the algorithms that were applied. |
| Starting Page | 2439 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9192439 |
| Journal | Mathematics |
| Issue Number | 19 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-01 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Shadowed Type-2 Fuzzy Systems Harmony Search Differential Evolution Algorithm |
| Content Type | Text |
| Resource Type | Article |
