Identification of the Tennessee Eastman Chemical Process Reactor Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Faris2013b,
  author =       "Hossam Faris and Alaa Sheta",
  title =        "Identification of the Tennessee Eastman Chemical
                 Process Reactor Using Genetic Programming",
  journal =      "International Journal of Advanced Science and
                 Technology",
  year =         "2013",
  volume =       "50",
  pages =        "121--140",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Tennessee
                 Eastman chemical process, Artificial Neural Networks
                 (ANN), fuzzy Logic (FL) and Neuro-Gas and Neuro-PSO",
  ISSN =         "2005-4238",
  URL =          "http://www.sersc.org/journals/IJAST/vol50.php",
  URL =          "http://www.sersc.org/journals/IJAST/vol50/11.pdf",
  size =         "18 pages",
  abstract =     "The Tennessee Eastman chemical process is a
                 well-defined simulation of a chemical process that has
                 been commonly used in process control research. As
                 chemical process plants are getting more complex, the
                 pressure on chemical engineers to develop accurate
                 models for monitoring and control purposes is
                 increased. In this paper, we explore the idea of using
                 Genetic Programming (GP) technique to model the
                 Tennessee Eastman (TE) Chemical Process Reactor. The
                 process is decomposed to four subsystems. They are
                 reactor level, reactor pressure, reactor cooling water
                 temperature, and reactor temperature subsystems. GP
                 found to have many advantages over other techniques in
                 developing an automated process for industrial system
                 modelling. A comparison between the applications of GP
                 in modeling the TE chemical reactors subsystems with
                 respect to other soft computing techniques such as
                 Artificial Neural Networks (ANN), fuzzy Logic (FL) and
                 Neuro-Gas and Neuro-PSO is provided.",
}

Genetic Programming entries for Hossam Faris Alaa Sheta

Citations