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Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

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Fuzzy Model Identification: A Firefly Optimization Approach

by Shakti Kumar, Parvinder Kaur, Amarpartap Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 6
Year of Publication: 2012
Authors: Shakti Kumar, Parvinder Kaur, Amarpartap Singh
10.5120/9283-3475

Shakti Kumar, Parvinder Kaur, Amarpartap Singh . Fuzzy Model Identification: A Firefly Optimization Approach. International Journal of Computer Applications. 58, 6 ( November 2012), 1-8. DOI=10.5120/9283-3475

@article{ 10.5120/9283-3475,
author = { Shakti Kumar, Parvinder Kaur, Amarpartap Singh },
title = { Fuzzy Model Identification: A Firefly Optimization Approach },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 6 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number6/9283-3475/ },
doi = { 10.5120/9283-3475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:43.444459+05:30
%A Shakti Kumar
%A Parvinder Kaur
%A Amarpartap Singh
%T Fuzzy Model Identification: A Firefly Optimization Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 6
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nature-inspired methodologies are currently among the most powerful algorithms for optimization problems. This paper presents a recent nature-inspired algorithm named Firefly algorithm (FA) for automatically evolving a fuzzy model from numerical data. FA is a meta-heuristic inspired by the flashing behavior of fireflies. The rate and the rhythmic flash, and the amount of time form part of the signal system to attract other fireflies. The paper discusses fuzzy modeling for zero-order Takagi-Sugeno-Kang (TSK) type fuzzy systems. Simulations on two well known problems, one battery charger that is a fuzzy control problem and another Iris data classification problem are conducted to verify the performance of above approach. The results indicate that the FA is a very promising optimizing algorithm for evolving fuzzy logic based Systems as compared to some of the existing approaches.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy logic Firefly algorithm Rule Base Nature-inspired optimization Fuzzy Modeling

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