Artificial Immune System based on Hybrid and External Memory for Mathematical Function Optimization
Artificial immune system (AIS) is one of the natureinspired 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 alw...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/3983/ http://eprints.utem.edu.my/id/eprint/3983/1/05958875.pdf |
| _version_ | 1848886981357993984 |
|---|---|
| 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. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Artificial immune system (AIS) is one of the natureinspired
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. |
| first_indexed | 2025-11-15T19:47:07Z |
| format | Conference or Workshop Item |
| id | utem-3983 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:47:07Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-39832015-05-28T02:39:01Z http://eprints.utem.edu.my/id/eprint/3983/ Artificial Immune System based on Hybrid and External Memory for Mathematical Function Optimization Yap, David F. W. Koh, S. P. Tiong, S. K. TA Engineering (General). Civil engineering (General) Artificial immune system (AIS) is one of the natureinspired 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 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3983/1/05958875.pdf Yap, David F. W. and Koh, S. P. and Tiong, S. K. (2011) Artificial Immune System based on Hybrid and External Memory for Mathematical Function Optimization. In: 2011 IEEE Symposium on Computers & Informatics, 20-22 March 2011, Kuala Lumpur. http://www.mypels.org/isci2011/ |
| spellingShingle | TA Engineering (General). Civil engineering (General) Yap, David F. W. Koh, S. P. Tiong, S. K. Artificial Immune System based on Hybrid and External Memory for Mathematical Function Optimization |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/3983/ http://eprints.utem.edu.my/id/eprint/3983/ http://eprints.utem.edu.my/id/eprint/3983/1/05958875.pdf |