Genetic Algorithms and Genetic Programming for Control

Dracopoulos, D. 1997. Genetic Algorithms and Genetic Programming for Control. in: Dasgupta, D. and Michalewicz, Z. (ed.) Evolutionary Algorithms in Engineering Applications Berlin Heidelberg Springer. pp. 329-343

Chapter titleGenetic Algorithms and Genetic Programming for Control
AuthorsDracopoulos, D.
EditorsDasgupta, D. and Michalewicz, Z.
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.

Book titleEvolutionary Algorithms in Engineering Applications
Page range329-343
Year1997
PublisherSpringer
Publication dates
Published1997
Place of publicationBerlin Heidelberg
ISBN9783540620211
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-662-03423-1_19

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