A novel approach for estimation of solvent activity in polymer solutions using genetic programming

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@Article{AsadiTashvigh:2015:Calphad,
  author =       "Akbar Asadi Tashvigh and Farzin Zokaee Ashtiani and 
                 Mohammad Karimi and Ahmad Okhovat",
  title =        "A novel approach for estimation of solvent activity in
                 polymer solutions using genetic programming",
  journal =      "Calphad",
  volume =       "51",
  pages =        "35--41",
  year =         "2015",
  ISSN =         "0364-5916",
  DOI =          "doi:10.1016/j.calphad.2015.07.005",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0364591615300080",
  abstract =     "In this paper, genetic programming (GP) as a novel
                 approach for the explicit modelling the phase
                 equilibria of polymer solutions is presented. The
                 objective of this study is to develop robust model
                 based on experimental data for prediction of solvent
                 activity in polymer/solvent mixtures. Molecular weight,
                 density, chemical structures of polymer and solvent,
                 and concentration of polymer solution were considered
                 as input parameters of the model. Activity of solvent
                 is considered as output parameter of the model. Some
                 statistical parameters were calculated in order to
                 investigate the reliability of model. The results
                 showed very well agreement with the experimental data
                 with an average error of less than 3percent.",
  keywords =     "genetic algorithms, genetic programming, Solvent
                 activity, Polymer solution, Phase equilibria",
}

Genetic Programming entries for Akbar Asadi Tashvigh Farzin Zokaee Ashtiani Mohammad Karimi Ahmad Okhovat

Citations