A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem

Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Prajindra, S. K. (2011) A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem. Artif. Intell. Rev., Online (Online). ISSN 0269-2821

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Abstract

Lately, the field of Artificial Immune Systems (AIS) has attracted wide attention among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS is rather slow as compared to other Evolutionary Algorithms. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving complicated optimization problems with simple coding and lesser parameters, but it tends to converge prematurely. Thus, the good features of AIS and PSO are combined in order to reduce their shortcomings.By comparing the optimization results of themathematical functions and the engineering problem using hybrid AIS (HAIS) and AIS, it is observed that HAIS has better performances in terms of accuracy, convergence rate and stability.

Item Type:	Article
Uncontrolled Keywords:	Artificial immune system, Particle swarm optimization, Optimization, Engineering problem, Diversity
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Electronics and Computer Engineering > Department of Telecommunication Engineering
Depositing User:	Dr David Yap
Date Deposited:	03 Jul 2012 07:40
Last Modified:	21 Dec 2021 16:14
URI:	http://eprints.utem.edu.my/id/eprint/3933
Statistic Details:	View Download Statistic

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