Abstract
In this article we have presented a mechanism of antigen transformation as it occurs in the natural system. Using this mechanism as a base the article has defined paradigms which were used to determine the architecture of the decentralized artificial immune network. The achievements results have been shown that the proposed learning mechanisms and the decentralized architecture consisting of computational nodes is calibrated and it can be successfully used in the distributed computational environments such as Grid and Clusters systems.
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
Preview
Unable to display preview. Download preview PDF.
References
De Castro, L.N., Von Zuben, F.J.: An Evolutionary Immune Network for Data Clustering. In: Proc. of the IEEE SBRN, pp. 84–89 (2000a)
De Castro, L.N., Von Zuben, F.J.: The Clonal Selection Algorithm with Engineering Applications. In: GECCO 2000 - Workshop Proceedings, pp. 36–37 (2000b)
Święcicki, M., Wajs, W., Wais, P.: An artificial immune algorithms apply to pre-processing signals. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3037, pp. 703–707. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Święcicki, M. (2008). An Algorithm of Decentralized Artificial Immune Network and Its Implementation. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_41
Download citation
DOI: https://doi.org/10.1007/978-3-540-87881-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87880-3
Online ISBN: 978-3-540-87881-0
eBook Packages: Computer ScienceComputer Science (R0)