Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem
Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively,...
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| Format: | Article |
| Language: | English |
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Academic Journals Inc.
2011
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| Online Access: | http://eprints.utem.edu.my/id/eprint/3929/ http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf |
| _version_ | 1848886973987553280 |
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| author | Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. |
| author_facet | Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. |
| author_sort | Yap, David F. W. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used effectively in solving complicated optimization problems, but they tend to converge prematurely at the local minima. In this study, the hybrid AIS (HAIS) is proposed by combining the good features of AIS and PSO in order to reduce this shortcoming. By comparing the optimization results of the mathematical functions and the engineering problem using GA, AIS and HAIS, it is observed that HAIS achieved better performances in terms of accuracy, convergence rate and stability. |
| first_indexed | 2025-11-15T19:47:00Z |
| format | Article |
| id | utem-3929 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:47:00Z |
| publishDate | 2011 |
| publisher | Academic Journals Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-39292021-12-21T15:39:59Z http://eprints.utem.edu.my/id/eprint/3929/ Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. TA Engineering (General). Civil engineering (General) Artificial Immune Systems (AIS) has generated great interest among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS in finding the global minima is rather slow as compare to other Evolutionary Algorithms. Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used effectively in solving complicated optimization problems, but they tend to converge prematurely at the local minima. In this study, the hybrid AIS (HAIS) is proposed by combining the good features of AIS and PSO in order to reduce this shortcoming. By comparing the optimization results of the mathematical functions and the engineering problem using GA, AIS and HAIS, it is observed that HAIS achieved better performances in terms of accuracy, convergence rate and stability. Academic Journals Inc. 2011 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Prajindra, S. K. (2011) Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem. Trends in Applied Sciences Research, 6 (3). pp. 282-293. ISSN 1819-3579 http://scialert.net/jindex.php?issn=1819-3579 DOI: 10.3923/tasr.2011.282.293 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title | Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title_full | Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title_fullStr | Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title_full_unstemmed | Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title_short | Particle Swarm based Artificial Immune System for Multimodal Function Optimization and Engineering Application Problem |
| title_sort | particle swarm based artificial immune system for multimodal function optimization and engineering application problem |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/3929/ http://eprints.utem.edu.my/id/eprint/3929/ http://eprints.utem.edu.my/id/eprint/3929/ http://eprints.utem.edu.my/id/eprint/3929/1/282-293.pdf |