Next Article in Journal
Local Community Detection in Dynamic Graphs Using Personalized Centrality
Next Article in Special Issue
Type-1 Fuzzy Sets and Intuitionistic Fuzzy Sets
Previous Article in Journal / Special Issue
Hybrid Learning for General Type-2 TSK Fuzzy Logic Systems
Article Menu

Export Article

Open AccessArticle
Algorithms 2017, 10(3), 101; https://doi.org/10.3390/a10030101

Comparative Study of Type-2 Fuzzy Particle Swarm, Bee Colony and Bat Algorithms in Optimization of Fuzzy Controllers

Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22379, Mexico
*
Author to whom correspondence should be addressed.
Received: 16 July 2017 / Revised: 18 August 2017 / Accepted: 23 August 2017 / Published: 28 August 2017
(This article belongs to the Special Issue Extensions to Type-1 Fuzzy Logic: Theory, Algorithms and Applications)
Full-Text   |   PDF [4449 KB, uploaded 28 August 2017]   |  

Abstract

In this paper, a comparison among Particle swarm optimization (PSO), Bee Colony Optimization (BCO) and the Bat Algorithm (BA) is presented. In addition, a modification to the main parameters of each algorithm through an interval type-2 fuzzy logic system is presented. The main aim of using interval type-2 fuzzy systems is providing dynamic parameter adaptation to the algorithms. These algorithms (original and modified versions) are compared with the design of fuzzy systems used for controlling the trajectory of an autonomous mobile robot. Simulation results reveal that PSO algorithm outperforms the results of the BCO and BA algorithms. View Full-Text
Keywords: interval type-2 fuzzy logic; footprint uncertainty; bio-inspired algorithms; fuzzy controller interval type-2 fuzzy logic; footprint uncertainty; bio-inspired algorithms; fuzzy controller
Figures

Figure 1

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).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Olivas, F.; Amador-Angulo, L.; Perez, J.; Caraveo, C.; Valdez, F.; Castillo, O. Comparative Study of Type-2 Fuzzy Particle Swarm, Bee Colony and Bat Algorithms in Optimization of Fuzzy Controllers. Algorithms 2017, 10, 101.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top