Abstract
For Artificial Immune System optimization process, this paper studies how to maintain the diversity of Monoclonal antibodies. After recognizing and forecasting the flutter fault frequently occurring when CA6140 horizontal lathe is used to machine the work pieces with a slim shaft by virtue of AIS system, an algorithm simulating the surname inheritance through setting family marks is proposed based on the traditional Clone Selection Algorithm. This algorithm can effectively enrich the current algorithms, avoid the repetitive computation caused by too fast constriction of antibodies during evolution, and accordingly effectively raise algorithm efficiency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Forrest S, Hofmeyr S, Somayaji A (1996) A sense of self for UNIX processes. IEEE Symposium Security and Privacy, Oakland, pp 120–128
Cai ZX, Gong T (2004) Advance in research on immune algorithms, Cont Dec 19(8):841–846 (in Chinese)
Zhang WJ, Wang X, Wu XY (2011) Fault diagnosis method for gun-launched missile based on negative-selection algorithm of AIS. J Acad Arm Force Eng 25(6):53–55 (in Chinese)
Timmis J, Neal M (2002) A resource limited artificial immune systems for data analysis [J]. Knowl Based Syst 14(3):121–130
Ma CH, Zhong Y (2011) Dynamic adaptive immune clone selection algorithm by applying population division. Comp Eng Appl 47(30):29–31(in Chinese)
Geng LC, Wu YD (2010) Remote sensing image retrieval algorithm based in aiNet model artificial immune network computer engineering and application. Comp Eng Appl 46(7):226–228 (in Chinese)
Wang BX, Zhang ZH (2011) Tracking control of the controlled system based on immune network model. Inform Control, 40(5):664–668 (in Chinese)
Fan Aj, Pan ZQ (2012) Algorithm of artificial immune network based on multiple memory antibody clonal Selection. Comp Simulat 29(2):102–104 (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xie, J., Hu, Y., Zhu, H., Wang, Y. (2013). Method to Increase Diversity in the Artificial Immune System. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34522-7_89
Download citation
DOI: https://doi.org/10.1007/978-3-642-34522-7_89
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34521-0
Online ISBN: 978-3-642-34522-7
eBook Packages: EngineeringEngineering (R0)