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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.
Format: Article
Language:en_US
Published: 2017
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spelling my.uniten.dspace-58372018-01-05T01:47:01Z 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. 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. 2017-12-08T07:26:36Z 2017-12-08T07:26:36Z 2009 Article https://www.scopus.com/record/display.uri?eid=2-s2.0-77953484173&origin=resultslist&sort=plf-f&src=s&sid=85a4d2cc662f8279003432751db7c44a&sot en_US Australian Journal of Basic and Applied Sciences Volume 3, Issue 4, October 2009, Pages 4344-4350
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/
language en_US
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.
format Article
author Yap, D.F.W.
Koh, S.P.
Tiong, S.K.
spellingShingle 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
author_facet Yap, D.F.W.
Koh, S.P.
Tiong, S.K.
author_sort Yap, D.F.W.
title 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_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_sort comparative analysis on the performance of particle swarm optimization and artificial immune systems for mathematical test functions
publishDate 2017
_version_ 1644493787974598656
score 13.211869

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