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Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem

Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively,...

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Main Authors: Yap, David F. W., Koh, S. P., Tiong, S. K., Prajindra, S. K.
Format: Article
Language:English
Published: Academic Journals Inc. 2011
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf
http://eprints.utem.edu.my/id/eprint/3929/
http://scialert.net/jindex.php?issn=1819-3579
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spelling my.utem.eprints.39292021-12-21T15:39:59Z http://eprints.utem.edu.my/id/eprint/3929/ Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. TA Engineering (General). Civil engineering (General) Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used effectively in solving complicated optimization problems, but they tend to converge prematurely at the local minima. In this study, the hybrid AIS (HAIS) is proposed by combining the good features of AIS and PSO in order to reduce this shortcoming. By comparing the optimization results of the mathematical functions and the engineering problem using GA, AIS and HAIS, it is observed that HAIS achieved better performances in terms of accuracy, convergence rate and stability. Academic Journals Inc. 2011 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Prajindra, S. K. (2011) Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem. Trends in Applied Sciences Research, 6 (3). pp. 282-293. ISSN 1819-3579 http://scialert.net/jindex.php?issn=1819-3579 DOI: 10.3923/tasr.2011.282.293
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Yap, David F. W.
Koh, S. P.
Tiong, S. K.
Prajindra, S. K.
Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
description Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used effectively in solving complicated optimization problems, but they tend to converge prematurely at the local minima. In this study, the hybrid AIS (HAIS) is proposed by combining the good features of AIS and PSO in order to reduce this shortcoming. By comparing the optimization results of the mathematical functions and the engineering problem using GA, AIS and HAIS, it is observed that HAIS achieved better performances in terms of accuracy, convergence rate and stability.
format Article
author Yap, David F. W.
Koh, S. P.
Tiong, S. K.
Prajindra, S. K.
author_facet Yap, David F. W.
Koh, S. P.
Tiong, S. K.
Prajindra, S. K.
author_sort Yap, David F. W.
title Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
title_short Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
title_full Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
title_fullStr Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
title_full_unstemmed Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
title_sort particle swarm based artificial immune system for multimodal function optimization and engineering application problem
publisher Academic Journals Inc.
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf
http://eprints.utem.edu.my/id/eprint/3929/
http://scialert.net/jindex.php?issn=1819-3579
_version_ 1720440242379423744
score 13.211869

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