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Algorithms 2017, 10(3), 82; https://doi.org/10.3390/a10030082

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm

Division of Graduate Studies and Research, Tijuana Institute of Technology, 22414 Tijuana, Mexico
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Academic Editor: Javier Del Ser Lorente
Received: 15 June 2017 / Revised: 16 July 2017 / Accepted: 16 July 2017 / Published: 20 July 2017
(This article belongs to the Special Issue Extensions to Type-1 Fuzzy Logic: Theory, Algorithms and Applications)
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Abstract

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. View Full-Text
Keywords: Type-1 fuzzy sets; fuzzy control; Type-1 fuzzy logic systems; interval Type-2 fuzzy logic systems; fuzzy harmony search; dynamic parameter adaptation Type-1 fuzzy sets; fuzzy control; Type-1 fuzzy logic systems; interval Type-2 fuzzy logic systems; fuzzy harmony search; dynamic parameter adaptation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Peraza, C.; Valdez, F.; Melin, P. Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm. Algorithms 2017, 10, 82.

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