期刊
ALGORITHMS
卷 10, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/a10030082
关键词
Type-1 fuzzy sets; fuzzy control; Type-1 fuzzy logic systems; interval Type-2 fuzzy logic systems; fuzzy harmony search; dynamic parameter adaptation
This article focuses on the dynamic parameter adaptation in the harmony search algorithm using Type-1 and interval Type-2 fuzzy logic. In particular, this work focuses on the adaptation of the parameters of the original harmony search algorithm. At present there are several types of algorithms that can solve complex real-world problems with uncertainty management. In this case the proposed method is in charge of optimizing the membership functions of three benchmark control problems (water tank, shower, and mobile robot). The main goal is to find the best parameters for the membership functions in the controller to follow a desired trajectory. Noise experiments are performed to test the efficacy of the method.
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