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Artificial immune system based on hybrid and external memory for mathematical function optimization

Artificial immune system (AIS) is one of the nature-inspired algorithm for optimization problem. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability. However, the CSA convergence and accuracy can be further improved because the hypermutation in CSA itself cannot alwa...

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Main Authors:	Yap D.F.W., Koh S.P., Tiong S.K.
Other Authors:	22952562500
Format:	Conference Paper
Published:	2023
Subjects:	affinity maturation antibody antigen clonal selection mutation Algorithms Antibodies Functions Immunology Information science Affinity maturation Artificial Immune System Clonal selection Clonal selection algorithms Complex optimization External memory Global searching ability Global searching capabilities Hyper mutation Mathematical functions Nature-inspired algorithms Optimization problems Other algorithms Particle swarm optimization (PSO)
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id	my.uniten.dspace-29586
record_format	dspace
spelling	my.uniten.dspace-295862024-04-17T10:52:32Z Artificial immune system based on hybrid and external memory for mathematical function optimization Yap D.F.W. Koh S.P. Tiong S.K. 22952562500 22951210700 15128307800 affinity maturation antibody antigen clonal selection mutation Algorithms Antibodies Functions Immunology Information science Affinity maturation Artificial Immune System Clonal selection Clonal selection algorithms Complex optimization External memory Global searching ability Global searching capabilities Hyper mutation Mathematical functions mutation Nature-inspired algorithms Optimization problems Other algorithms Particle swarm optimization (PSO) Artificial immune system (AIS) is one of the nature-inspired algorithm for optimization problem. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability. However, the CSA convergence and accuracy can be further improved 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. Thus, a hybrid PSO-AIS and a new external memory CSA based scheme called EMCSA are proposed. In hybrid PSO-AIS, the good features of PSO and AIS are combined in order to reduce any limitation. Alternatively, EMCSA captures all the best antibodies into the memory in order to enhance global searching capability. In this preliminary study, the results show that the performance of hybrid PSO-AIS compares favourably with other algorithms while EMCSA produced moderate results in most of the simulations. � 2011 IEEE. Final 2023-12-28T07:05:43Z 2023-12-28T07:05:43Z 2011 Conference Paper 10.1109/ISCI.2011.5958875 2-s2.0-80052129975 https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052129975&doi=10.1109%2fISCI.2011.5958875&partnerID=40&md5=d20187d0ef90ee6da216bf3a38f3349e https://irepository.uniten.edu.my/handle/123456789/29586 5958875 12 17 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	affinity maturation antibody antigen clonal selection mutation Algorithms Antibodies Functions Immunology Information science Affinity maturation Artificial Immune System Clonal selection Clonal selection algorithms Complex optimization External memory Global searching ability Global searching capabilities Hyper mutation Mathematical functions mutation Nature-inspired algorithms Optimization problems Other algorithms Particle swarm optimization (PSO)
spellingShingle	affinity maturation antibody antigen clonal selection mutation Algorithms Antibodies Functions Immunology Information science Affinity maturation Artificial Immune System Clonal selection Clonal selection algorithms Complex optimization External memory Global searching ability Global searching capabilities Hyper mutation Mathematical functions mutation Nature-inspired algorithms Optimization problems Other algorithms Particle swarm optimization (PSO) Yap D.F.W. Koh S.P. Tiong S.K. Artificial immune system based on hybrid and external memory for mathematical function optimization
description	Artificial immune system (AIS) is one of the nature-inspired algorithm for optimization problem. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability. However, the CSA convergence and accuracy can be further improved 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. Thus, a hybrid PSO-AIS and a new external memory CSA based scheme called EMCSA are proposed. In hybrid PSO-AIS, the good features of PSO and AIS are combined in order to reduce any limitation. Alternatively, EMCSA captures all the best antibodies into the memory in order to enhance global searching capability. In this preliminary study, the results show that the performance of hybrid PSO-AIS compares favourably with other algorithms while EMCSA produced moderate results in most of the simulations. � 2011 IEEE.
author2	22952562500
author_facet	22952562500 Yap D.F.W. Koh S.P. Tiong S.K.
format	Conference Paper
author	Yap D.F.W. Koh S.P. Tiong S.K.
author_sort	Yap D.F.W.
title	Artificial immune system based on hybrid and external memory for mathematical function optimization
title_short	Artificial immune system based on hybrid and external memory for mathematical function optimization
title_full	Artificial immune system based on hybrid and external memory for mathematical function optimization
title_fullStr	Artificial immune system based on hybrid and external memory for mathematical function optimization
title_full_unstemmed	Artificial immune system based on hybrid and external memory for mathematical function optimization
title_sort	artificial immune system based on hybrid and external memory for mathematical function optimization
publishDate	2023
_version_	1806424230274793472
score	13.222552

Artificial immune system based on hybrid and external memory for mathematical function optimization

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