The Kinetic Evolutionary Modeling of Complex Systems of Chemical Reactions

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@Article{cao:1999:CC,
  author =       "Hongqing Cao and Jingxian Yu and Lishan Kang and 
                 Yuping Chen and Yongyan Chen",
  title =        "The Kinetic Evolutionary Modeling of Complex Systems
                 of Chemical Reactions",
  journal =      "Computers \& Chemistry",
  year =         "1999",
  volume =       "23",
  number =       "2",
  pages =        "143--152",
  month =        "30 " # mar,
  keywords =     "genetic algorithms, genetic programming, kinetic
                 analysis, Complex systems of chemical reactions,
                 Evolutionary modeling",
  DOI =          "doi:10.1016/S0097-8485(99)00005-4",
  abstract =     "To overcome the drawbacks of most available methods
                 for kinetic analysis, this paper proposes a hybrid
                 evolutionary modelling algorithm called HEMA to build
                 kinetic models of systems of ordinary differential
                 equations (ODEs) automatically for complex systems of
                 chemical reactions. The main idea of the algorithm is
                 to embed a genetic algorithm (GA) into genetic
                 programming (GP) where GP is employed to optimise the
                 structure of a model, while a GA is employed to
                 optimize its parameters. The experimental results of
                 two chemical reaction systems show that by running the
                 HEMA, the computer can discover the kinetic models
                 automatically which are appropriate for describing the
                 kinetic characteristics of the reacting systems. Those
                 models can not only fit the kinetic data very well, but
                 also give good predictions.",
}

Genetic Programming entries for Hong-Qing Cao Jingxian Yu Li-Shan Kang Yu-Ping Chen Yongyan Chen

Citations