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An overview of genetic algorithms applied to control engineering problems

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3 Author(s)
Qing Wang ; Control & Simulation Center, Harbin Inst. of Technol., China ; Spronck, P. ; Tracht, R.

Genetic algorithms (GAs) are the most widely known evolutionary search algorithms. While they are regularly applied to control engineering problems, currently they are not a standard tool in the control engineer's toolbox. This may in part be the result of the fact that few general overview of the application of GAs to control engineering problems yet exists, and the fact that they are usually reported on at conferences of computer scientists, not of control engineers. This paper attempts to alleviate that omission by presenting an overview of recent applications of GAs in the field of control engineering.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:3 )

Date of Conference:

2-5 Nov. 2003