Modeling a complex system using multiobjective genetic programming

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@InProceedings{Yan:2008:ICIEA,

• author = "Bai Yan and Jiang Yiheng and Zhu Yaochun and Xiaofei Li and Fan Li",
• title = "Modeling a complex system using multiobjective genetic programming",
• booktitle = "3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008",
• year = "2008",
• month = "3-5 " # jun,
• pages = "781--784",
• abstract = "Genetic Programming is a kind of searching technique, which is intelligent, and it works by emulating natural evolution. The intelligent modelling technique based on genetic programming can recognise 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 minimise 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, genetic programming, intelligent modelling technique, maximal dynamic deviation, multiobjective genetic programming, power plant coordinated system, power engineering computing, power plants",
• DOI = "doi:10.1109/ICIEA.2008.4582621",
• notes = "Coal Main steam. Dept. of Autom., North China Electr. Power Univ., Beijing. Also known as \cite{4582621}",

}

Genetic Programming entries for Bai Yan Jiang Yiheng Zhu Yaochun Xiaofei Li Fan Li

Citations