DocumentCode
2342763
Title
Modeling a complex system using multiobjective genetic programming
Author
Yan, Bai ; Yiheng, Jiang ; Yaochun, Zhu ; Xiaofei, Li ; Li, Fan
Author_Institution
Dept. of Autom., North China Electr. Power Univ., Beijing
fYear
2008
fDate
3-5 June 2008
Firstpage
781
Lastpage
784
Abstract
Genetic Programming is a kind of searching technique, which is intelligent, and it works by emulating natural evolution. The intelligent modeling technique based on genetic programming can recognize the relationship between the inputs and outputs of a complex system, and it has ascendeny of searching out the frame and the parameters of the system at the same time and the searching results are explicit. A novel multiobjective genetic programming, which searching aim is to minimize the sum of squares of deviations, the complexity and the maximal dynamic deviation, is put forward to model a coordinate system of power plant, and the results from simulation show that it is valid.
Keywords
genetic algorithms; power engineering computing; power plants; intelligent modeling technique; maximal dynamic deviation; multiobjective genetic programming; power plant coordinated system; Automation; Electrical equipment industry; Genetic algorithms; Genetic programming; Industrial relations; Mathematical model; Optimization methods; Power generation; Power system modeling; Water resources; multiobjective genetic programming; system modeling; the coordinate system of power plant; transform function;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1717-9
Electronic_ISBN
978-1-4244-1718-6
Type
conf
DOI
10.1109/ICIEA.2008.4582621
Filename
4582621
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