Using the method of artificial immune systems to seek the suboptimal program control of deterministic systems-Reference-Cited by-同舟云学术

Using the method of artificial immune systems to seek the suboptimal program control of deterministic systems

Published:2014-11 Issue:11 Volume:75 Page:1922-1935
ISSN:0005-1179
Container-title:Automation and Remote Control
language:en
Short-container-title:Autom Remote Control

Author:

Panteleev A. V.,Metlitskaya D. V.

Publisher

Pleiades Publishing Ltd

Subject

Control and Systems Engineering,Electrical and Electronic Engineering

Link

http://link.springer.com/content/pdf/10.1134/S0005117914110034.pdf

Reference16 articles.

1. de Castro, L.N. and von Zuben, F.J., Learning and Optimization Using the Clonal Selection Principle, IEEE Trans. Evol. Comput., 2002, vol. 6, no. 3, pp. 239–251.

2. de Castro, L. and Timmis, J., An Artificial Immune Network for Multimodal Function Optimization, in Proc. IEEE Congr. Evol. Comput., 2002, vol. 1, pp. 669–674.

3. de Castro, L.N., von Zuben, F.J., and Knidel, H., Artificial Immune Systems, in Proc. 7 Int. Conf. ICARIS, Heidelberg, 2007, vol. 4628.

4. Dasgupta, D., Artificial Immune Systems and Their Applications, Berlin: Springer, 1999. Translated under the title Iskusstvennye immunye sistemy i ikh primenenie, Moscow: Fizmatlit, 2006.

5. Metlitskaya, D.V., Algorithmic Support of the Modified Method of Artificial Immune Systems, in Teoreticheskie voprosy vychislitel’noi tekhniki i programmnogo obespecheniya. Mezhvuz. sb. nauchn. tr. MIREA (Theoretical Issues of Computer Engineering and Software. MIREA Collected Papers), 2011, pp. 81–86.

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