A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions

Over the years, the area of Artificial Immune Systems (AIS) has drawn wide attention among researchers as the algorithm is able to enhance local searching ability and efficiency. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving optimization problems. This paper c...

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Main Authors: Yap D.F.W., Koh S.P., Tiong S.K.
Other Authors: 22952562500
Format: Article
Published: 2023
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author Yap D.F.W.
Koh S.P.
Tiong S.K.
author2 22952562500
author_facet 22952562500
Yap D.F.W.
Koh S.P.
Tiong S.K.
author_sort Yap D.F.W.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Over the years, the area of Artificial Immune Systems (AIS) has drawn wide attention among researchers as the algorithm is able to enhance local searching ability and efficiency. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving optimization problems. This paper compares the optimization results of the mathematical functions using AIS and PSO. The numerical results show that both PSO and AIS give comparable fitness solutions with the former performing about 56 percent faster than the latter. Conversely, for simpler mathematical functions, AIS performs marginally faster than PSO at about 14 percent while maintaining good accuracy of the objective value. � 2009, INSInet Publication.
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spelling my.uniten.dspace-296692023-12-28T15:30:43Z A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions Yap D.F.W. Koh S.P. Tiong S.K. 22952562500 22951210700 15128307800 Affinity and maturation Artificial immune systems Clonal selection Particle swarm optimization Over the years, the area of Artificial Immune Systems (AIS) has drawn wide attention among researchers as the algorithm is able to enhance local searching ability and efficiency. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving optimization problems. This paper compares the optimization results of the mathematical functions using AIS and PSO. The numerical results show that both PSO and AIS give comparable fitness solutions with the former performing about 56 percent faster than the latter. Conversely, for simpler mathematical functions, AIS performs marginally faster than PSO at about 14 percent while maintaining good accuracy of the objective value. � 2009, INSInet Publication. Final 2023-12-28T07:30:43Z 2023-12-28T07:30:43Z 2009 Article 2-s2.0-77953484173 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953484173&partnerID=40&md5=c1364477b723b565a8f2a79be196e44a https://irepository.uniten.edu.my/handle/123456789/29669 3 4 4344 4350 Scopus
spellingShingle Affinity and maturation
Artificial immune systems
Clonal selection
Particle swarm optimization
Yap D.F.W.
Koh S.P.
Tiong S.K.
A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title_full A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title_fullStr A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title_full_unstemmed A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title_short A comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
title_sort comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
topic Affinity and maturation
Artificial immune systems
Clonal selection
Particle swarm optimization
url_provider http://dspace.uniten.edu.my/