Next Article in Journal / Special Issue
Fuzzy Fireworks Algorithm Based on a Sparks Dispersion Measure
Previous Article in Journal
Low-Resource Cross-Domain Product Review Sentiment Classification Based on a CNN with an Auxiliary Large-Scale Corpus
Previous Article in Special Issue
Design of an Optimized Fuzzy Classifier for the Diagnosis of Blood Pressure with a New Computational Method for Expert Rule Optimization
Open AccessArticle

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
*
Authors to whom correspondence should be addressed.
Academic Editor: Javier Del Ser Lorente
Algorithms 2017, 10(3), 82; https://doi.org/10.3390/a10030082
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)
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
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop