Mathematical function optimization using AIS antibody remainder method

Artificial immune system (AIS) is one of the metaheuristics used for solving combinatorial optimization problems. In AIS, clonal selection algorithm (CSA) has good global searching capability. However, the CSA convergence and accuracy can be improved further because the hypermutation in CSA itself c...

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Main Authors:	Yap, David F. W., Koh, S. P., Tiong, S. K.
Format:	Article
Published:	International Association of Computer Science and Information Technology Press (IACSIT) 2011
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ijmlc.org/ http://ijmlc.org/ http://eprints.utem.edu.my/3932/1/03-C00778-001.pdf

id	utem-3932
recordtype	eprints
spelling	utem-39322015-05-28T02:38:39Z Mathematical function optimization using AIS antibody remainder method Yap, David F. W. Koh, S. P. Tiong, S. K. TA Engineering (General). Civil engineering (General) Artificial immune system (AIS) is one of the metaheuristics used for solving combinatorial optimization problems. In AIS, clonal selection algorithm (CSA) has good global searching capability. However, the CSA convergence and accuracy can be improved further because the hypermutation in CSA itself cannot always guarantee a better solution. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have a tendency to converge prematurely. In this study, the CSA is modified using the best solutions for each exposure (iteration) namely Single Best Remainder (SBR) - CSA. The results show that the proposed algorithm is able to improve the conventional CSA in terms of accuracy and stability for single and multi objective functions. International Association of Computer Science and Information Technology Press (IACSIT) 2011 Article PeerReviewed application/pdf http://eprints.utem.edu.my/3932/1/03-C00778-001.pdf http://ijmlc.org/ Yap, David F. W. and Koh, S. P. and Tiong, S. K. (2011) Mathematical function optimization using AIS antibody remainder method. International Journal of Machine Learning and Computing, 1 (1). pp. 13-19. ISSN 2010-3700 http://eprints.utem.edu.my/3932/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknikal Malaysia Melaka
building	UTeM Institutional Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Yap, David F. W. Koh, S. P. Tiong, S. K. Mathematical function optimization using AIS antibody remainder method
description	Artificial immune system (AIS) is one of the metaheuristics used for solving combinatorial optimization problems. In AIS, clonal selection algorithm (CSA) has good global searching capability. However, the CSA convergence and accuracy can be improved further because the hypermutation in CSA itself cannot always guarantee a better solution. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have a tendency to converge prematurely. In this study, the CSA is modified using the best solutions for each exposure (iteration) namely Single Best Remainder (SBR) - CSA. The results show that the proposed algorithm is able to improve the conventional CSA in terms of accuracy and stability for single and multi objective functions.
format	Article
author	Yap, David F. W. Koh, S. P. Tiong, S. K.
author_facet	Yap, David F. W. Koh, S. P. Tiong, S. K.
author_sort	Yap, David F. W.
title	Mathematical function optimization using AIS antibody remainder method
title_short	Mathematical function optimization using AIS antibody remainder method
title_full	Mathematical function optimization using AIS antibody remainder method
title_fullStr	Mathematical function optimization using AIS antibody remainder method
title_full_unstemmed	Mathematical function optimization using AIS antibody remainder method
title_sort	mathematical function optimization using ais antibody remainder method
publisher	International Association of Computer Science and Information Technology Press (IACSIT)
publishDate	2011
url	http://ijmlc.org/ http://ijmlc.org/ http://eprints.utem.edu.my/3932/1/03-C00778-001.pdf
first_indexed	2018-09-05T10:18:13Z
last_indexed	2018-09-05T10:18:13Z
_version_	1610762361569804288

Mathematical function optimization using AIS antibody remainder method

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