Modeling a complex system using multiobjective genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Bai Yan and Jiang Yiheng and Zhu Yaochun and 
                 Xiaofei Li and Fan Li",
  title =        "Modeling a complex system using multiobjective genetic
  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
  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