A swarm based artificial immune systems for solving multimodal functions

Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Prajindra, S. K. (2011) A swarm based artificial immune systems for solving multimodal functions. Applied Artificial Intelligence, 25 (8). pp. 693-707. ISSN 0883-9514

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Abstract

Artificial Immune Systems (AIS) have attracted enormous attention among researchers because the algorithms are able to improve global searching ability and efficiency. Nevertheless, the rate of convergence for AIS is relatively slow compared to other metaheuristic algorithms. On the other hand, genetic algorithms (GAs) and particle swarm optimization (PSO) have been used successfully in solving optimization problems, although they tend to converge prematurely. Therefore, the good attributes of AIS and PSO are merged in order to reduce this limitation. It is observed that the proposed hybrid AIS (HAIS) achieved better performances in terms of convergence rate, accuracy, and stability against GA and AIS by comparing the optimization results of the mathematical functions. A similar result was achieved by HAIS in the engineering problem when compared to GA, PSO, and AIS.

Item Type:	Article
Uncontrolled Keywords:	selection, antibody, antigen, affinity maturation, mutation
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 07:35
Last Modified:	21 Dec 2021 16:45
URI:	http://eprints.utem.edu.my/id/eprint/3936
Statistic Details:	View Download Statistic

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