A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolutionopen access
- Authors
- Ochoa, Patricia; Peraza, Cinthia; Castillo, Oscar; Geem, Zong Woo
- Issue Date
- Jun-2023
- Publisher
- MDPI
- Keywords
- shadowed type-2 fuzzy logic; interval type-2 fuzzy controller; differential evolution
- Citation
- ALGORITHMS, v.16, no.6
- Journal Title
- ALGORITHMS
- Volume
- 16
- Number
- 6
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88542
- DOI
- 10.3390/a16060279
- ISSN
- 1999-4893
- Abstract
- The shadowed type-2 fuzzy systems are used more frequently today as they provide an alternative to classical fuzzy logic. The primary purpose of fuzzy logic is to simulate reasoning in a computer. This work aims to use shadowed type-2 fuzzy systems (ST2-FS) to dynamically adapt the crossing parameter of differential evolution (DE). To test the performance of the dynamic crossing parameter, the motor position control problem was used, which contains an interval type-2 fuzzy system (IT2-FS) for controlling the motor. A comparison is made between the original DE and the algorithm using shadowed type-2 fuzzy systems (DE-ST2-FS), as well as a comparison with the results of other state-of-the-art metaheuristics.
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Collections - IT융합대학 > 에너지IT학과 > 1. Journal Articles
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