Evolutionary algorithms in control systems engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Ushakov:2010:TCSET,

• author = "Eduard Ushakov",
• title = "Evolutionary algorithms in control systems engineering",
• booktitle = "2010 International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET)",
• year = "2010",
• month = feb,
• pages = "204",
• address = "Lviv-Slavske, Ukraine",
• keywords = "genetic algorithms, genetic programming, control systems engineering, conventional optimisation, evolutionary algorithms, control system synthesis",
• isbn13 = "978-966-553-875-2",
• URL = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5446117",
• size = "1 page",
• abstract = "Summary form only given. This paper introduces the session describing the state-of-the-art in the application of evolutionary computation in control system engineering. Evolutionary methods such as genetic algorithms (GAs) and genetic programming (GP) are particularly suitable in problems for which conventional optimisers are inefficient or inappropriate, rather than simply as an alternative to conventional optimisation. This session will be of interest to the control engineering community as a whole, and will provide an educational background to those not familiar with these methods as well as presenting new results and applications.",
• notes = "Also known as \cite{5446117}",

}

Genetic Programming entries for Eduard Ushakov

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