DocumentCode :
2491198
Title :
An overview of genetic algorithms applied to control engineering problems
Author :
Wang, Qing ; Spronck, Pieter ; Tracht, Rudolf
Author_Institution :
Control & Simulation Center, Harbin Inst. of Technol., China
Volume :
3
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
1651
Abstract :
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.
Keywords :
control engineering computing; genetic algorithms; control engineering problems; evolutionary search algorithms; genetic algorithms; Biological cells; Control engineering; Control systems; Evolutionary computation; Genetic algorithms; Genetic programming; Optimal control; Robust control; Robust stability; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259761
Filename :
1259761
Link To Document :
بازگشت