Modelling Chemical Process Systems Using a Multi-Gene Genetic Programming Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Mark Hinchliffe and Hugo Hiden and Ben McKay and 
                 Mark Willis and Ming Tham and Geoffery Barton",
  title =        "Modelling Chemical Process Systems Using a Multi-Gene
                 Genetic Programming Algorithm",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1996
                 Conference Stanford University July 28-31, 1996",
  year =         "1996",
  editor =       "John R. Koza",
  pages =        "56--65",
  address =      "Stanford University, CA, USA",
  publisher_address = "Stanford University, Stanford, California
                 94305-3079, USA",
  month =        "28--31 " # jul,
  publisher =    "Stanford Bookstore",
  ISBN =         "0-18-201031-7",
  keywords =     "genetic algorithms, genetic programming",
  broken =       "",
  abstract =     "In this contribution a multi-gene Genetic Programming
                 (Gp) Algorithm is used to evolve input output models of
                 chemical process systems. Three case studies are used
                 to demonstrate the performance of the method when
                 compared to a standard GP algorithm. A statistical
                 analysis procedure is used to aid in the assessment of
                 the results and suggest the number of independent runs
                 required to obtain a successful result. It is concluded
                 that the multi-gene algorithm provides superior
                 performance, as partitioning the problem into
                 sub-groups incorporates basic heuristic knowledge of
                 the search space.",
  notes =        "GP-96LB MSword .ps file not compatible with unix The
                 email address for the bookstore for mail orders is
        Phone no 415-329-1217
                 or 800-533-2670",

Genetic Programming entries for Mark P Hinchliffe Hugo Hiden Ben McKay Mark J Willis Ming T Tham Geoffrey W Barton