Artificial immune system based on hybrid and external memory for mathematical function optimization

David F.W. Yap, S. P. Koh, S. K. 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 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.

Original languageEnglish
Title of host publicationISCI 2011 - 2011 IEEE Symposium on Computers and Informatics
Pages12-17
Number of pages6
DOIs
Publication statusPublished - 01 Sep 2011
Event2011 IEEE Symposium on Computers and Informatics, ISCI 2011 - Kuala Lumpur, Malaysia
Duration: 20 Mar 201122 Mar 2011

Publication series

NameISCI 2011 - 2011 IEEE Symposium on Computers and Informatics

Other

Other2011 IEEE Symposium on Computers and Informatics, ISCI 2011
CountryMalaysia
CityKuala Lumpur
Period20/03/1122/03/11

Fingerprint

Immune system
Particle swarm optimization (PSO)
Data storage equipment
Antibodies
Genetic algorithms

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Yap, D. F. W., Koh, S. P., & Tiong, S. K. (2011). Artificial immune system based on hybrid and external memory for mathematical function optimization. In ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics (pp. 12-17). [5958875] (ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics). https://doi.org/10.1109/ISCI.2011.5958875
Yap, David F.W. ; Koh, S. P. ; Tiong, S. K. / Artificial immune system based on hybrid and external memory for mathematical function optimization. ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics. 2011. pp. 12-17 (ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics).
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Yap, DFW, Koh, SP & Tiong, SK 2011, Artificial immune system based on hybrid and external memory for mathematical function optimization. in ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics., 5958875, ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics, pp. 12-17, 2011 IEEE Symposium on Computers and Informatics, ISCI 2011, Kuala Lumpur, Malaysia, 20/03/11. https://doi.org/10.1109/ISCI.2011.5958875

Artificial immune system based on hybrid and external memory for mathematical function optimization. / Yap, David F.W.; Koh, S. P.; Tiong, S. K.

ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics. 2011. p. 12-17 5958875 (ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics).

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

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Yap DFW, Koh SP, Tiong SK. Artificial immune system based on hybrid and external memory for mathematical function optimization. In ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics. 2011. p. 12-17. 5958875. (ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics). https://doi.org/10.1109/ISCI.2011.5958875