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
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;
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
DOI :
10.1109/ICIEA.2008.4582621