Genetic Algorithms and Genetic Programming for Control

Created by W.Langdon from gp-bibliography.bib Revision:1.9244

@InCollection{dracopoulos:1997:GAGPc,

• author = "Dimitris C. Dracopoulos",
• title = "Genetic Algorithms and Genetic Programming for Control",
• booktitle = "Evolutionary Algorithms in Engineering Applications",
• publisher = "Springer-Verlag",
• year = "1997",
• editor = "Dipankar Dasupta and Zbigniew Michalewicz",
• pages = "329--343",
• address = "Berlin",
• keywords = "genetic algorithms, genetic programming, Fuzzy Controller, Chaotic Motion, Unstable Periodic Orbit",
• ISBN = "3-540-62021-4",
• isbn13 = "978-3-540-62021-1",
• URL = "http://www.springer.com/computer/swe/book/978-3-540-62021-1",
• DOI = "10.1007/978-3-662-03423-1_19",
• abstract = "The use of genetic algorithms and genetic programming in control engineering has started to expand in the last few years. This is mainly for two reasons: the physical cost of implementing a known control algorithm and the difficulty to find such an algorithm for complex plants [56]. Broadly, evolutionary algorithms for control can be classified as either ``pure'' evolutionary or hybrid architectures. This chapter reviews some of the most successful applications of genetic algorithms and genetic programming in control engineering and outlines some general principles behind such applications. Demonstration of the power of these techniques is given, by describing how a hybrid genetic controller can be applied to the control of complex (even chaotic) dynamic systems. In particular, the detumbling and attitude control problems of a satellite are considered.",
• notes = "also known as \cite{Dracopoulos1997}, brief survey of GA and GP in control. Principly concentrates upon using GP to control a tumbling satellite",

}

Genetic Programming entries for Dimitris C Dracopoulos

Citations