Solving computational algorithm using CLONALNet technique based on artificial clonal selection

Jeremiah A.L.Anthony Samy, Prajindra Sankar Krishnan, Sieh Kiong Tiong

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

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.

Original languageEnglish
Title of host publication2011 IEEE Conference on Open Systems, ICOS 2011
Pages350-353
Number of pages4
DOIs
Publication statusPublished - 14 Dec 2011
Event2nd IEEE International Conference on Open Systems, ICOS 2011 - Langkawi, Malaysia
Duration: 25 Sep 201128 Sep 2011

Publication series

Name2011 IEEE Conference on Open Systems, ICOS 2011

Other

Other2nd IEEE International Conference on Open Systems, ICOS 2011
CountryMalaysia
CityLangkawi
Period25/09/1128/09/11

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software

Cite this

Samy, J. A. L. A., Krishnan, P. S., & Tiong, S. K. (2011). Solving computational algorithm using CLONALNet technique based on artificial clonal selection. In 2011 IEEE Conference on Open Systems, ICOS 2011 (pp. 350-353). [6079255] (2011 IEEE Conference on Open Systems, ICOS 2011). https://doi.org/10.1109/ICOS.2011.6079255