NDLI: Solving computational algorithm using CLONALNet technique based on artificial clonal selection

Content Provider	IEEE Xplore Digital Library
Author	Samy, J.A.A. Krishnan, P.S.A. Tiong Sieh Kiong
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Communications Engineering, Universtiti Tenaga Nasional, 43009 Kajang, Selangor, Malaysia (Samy, J.A.A.) \|\| Power Engineering Centre / Department of Electronics and Communication Engineering, Universiti Tenaga Nasional, 43009 Kajang, Selangor, Malaysia (Tiong Sieh Kiong) \|\| Department of Electronics and Communication Engineering, Universiti Tenaga Nasional, 43009 Kajang, Selangor, Malaysia (Krishnan, P.S.A.)
Abstract	This paper discusses the approach of CLONALNet in determining the optimum fitness function and mean population by benchmarking it with CLONALG. By using this algorithm the steps to obtain the fitness function is optimized and processing time is reduced. CLONALNet is a hybrid or combination of both opt-aiNet (Optimize Artificial Immune Network) and CLONALG. CLONALNet enforces an algorithm that is much more robust in evaluating the fitness for each antibody cells since it initiates boundaries so that the initialization process doesn't run off as of previous CLONALG algorithm but still maintains the immune network interaction as in aiNet. Also included is the combination of steps which includes cloning, affinity maturation and selection steps into one single function to find the best group of clones. In recent studies done, the maximum value will be the optimum solution. The optimum result as suggested in this paper is the minimum value for fitness function referring to global optimum result which is zero.
Starting Page	344
Ending Page	347
File Size	497746
Page Count	4
File Format	PDF
ISBN	9781612849317
e-ISBN	9781612849317
DOI	10.1109/ICOS.2011.6079255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Data acquisition Cloning Mutation rate Gaussian CLONALNet Classification algorithms Arrays Multifunction Equations Optimization Immune system
Content Type	Text
Resource Type	Article

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