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An Improved Artificial Immune System Based On Antibody Reminder Method For Mathematical Function Optimization

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 hyper mutation in CSA itself cannot alw...

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Bibliographic Details
Main Authors: Yap, David F. W., Habibullah, Akbar, Koh, S. P., Tiong, S. K.
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://eprints.utem.edu.my/id/eprint/20210/1/AN%20IMPROVED%20ARTIFICIAL%20IMMUNE%20SYSTEM%20BASED%20ON%20ANTIBODY%20REMINDER%20METHOD%20FOR%20MATHEMATICAL%20FUNCTION%20OPTIMIZATION-DAVID%20F%20W%20YAP-MAK%2000509%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20210/
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http://eprints.utem.edu.my/id/eprint/20210/1/AN%20IMPROVED%20ARTIFICIAL%20IMMUNE%20SYSTEM%20BASED%20ON%20ANTIBODY%20REMINDER%20METHOD%20FOR%20MATHEMATICAL%20FUNCTION%20OPTIMIZATION-DAVID%20F%20W%20YAP-MAK%2000509%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20210/

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