An improved artificial immune system based on antibody remainder method for mathematical function optimization

David F.W. Yap, A. Habibullah, Johnny Siaw Paw Koh, Sieh Kiong Tiong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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 improved further 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. In this study, the CSA is modified using the best solutions for each exposure (iteration) namely Remainder-CSA. The results show that the proposed algorithm is able to improve the conventional CSA in terms of accuracy and stability for single objective functions.

Original languageEnglish
Title of host publicationProceeding, 2010 IEEE Student Conference on Research and Development - Engineering
Subtitle of host publicationInnovation and Beyond, SCOReD 2010
Pages174-177
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201014 Dec 2010

Other

Other2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
CountryMalaysia
CityKuala Lumpur
Period13/12/1014/12/10

Fingerprint

Immune system
Antibodies
Particle swarm optimization (PSO)
Genetic algorithms
guarantee
ability

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Education

Cite this

Yap, D. F. W., Habibullah, A., Koh, J. S. P., & Tiong, S. K. (2010). An improved artificial immune system based on antibody remainder method for mathematical function optimization. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 (pp. 174-177). [5703996] https://doi.org/10.1109/SCORED.2010.5703996
Yap, David F.W. ; Habibullah, A. ; Koh, Johnny Siaw Paw ; Tiong, Sieh Kiong. / An improved artificial immune system based on antibody remainder method for mathematical function optimization. Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. pp. 174-177
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Yap, DFW, Habibullah, A, Koh, JSP & Tiong, SK 2010, An improved artificial immune system based on antibody remainder method for mathematical function optimization. in Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010., 5703996, pp. 174-177, 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010, Kuala Lumpur, Malaysia, 13/12/10. https://doi.org/10.1109/SCORED.2010.5703996

An improved artificial immune system based on antibody remainder method for mathematical function optimization. / Yap, David F.W.; Habibullah, A.; Koh, Johnny Siaw Paw; Tiong, Sieh Kiong.

Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 174-177 5703996.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yap DFW, Habibullah A, Koh JSP, Tiong SK. An improved artificial immune system based on antibody remainder method for mathematical function optimization. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 174-177. 5703996 https://doi.org/10.1109/SCORED.2010.5703996