Identification Of Fluid Systems Using Genetic Programming

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

@InProceedings{watson:1996:ifs,
  author =       "A. H. Watson and I. C. Parmee",
  title =        "Identification Of Fluid Systems Using Genetic
                 Programming",
  booktitle =    "Proceedings of the Second Online Workshop on
                 Evolutionary Computation (WEC2)",
  year =         "1996",
  number =       "2",
  pages =        "45--48",
  address =      "http://www.bioele.nuee.nagoya-u.ac.jp/wec2/",
  month =        "4--22 " # mar,
  organisation = "Research Group on ECOmp of the Society of Fuzzy Theory
                 and Systems (SOFT)",
  publisher =    "Nagoya University, Japan",
  keywords =     "genetic algorithms, genetic programming, Fluid
                 Systems, Evolutionary Computing",
  broken =       "http://www.bioele.nuee.nagoya-u.ac.jp/wec2/papers/files/watson.ps",
  URL =          "http://citeseer.ist.psu.edu/cache/papers/cs/4894/http:zSzzSzwww.bioele.nuee.nagoya-u.ac.jpzSzwec2zSzpaperszSzfileszSzwatson.pdf/watson96identification.pdf",
  URL =          "http://citeseer.ist.psu.edu/watson96identification.html",
  size =         "4 pages",
  abstract =     "In recent years, applied researchers have become
                 increasingly interested in Adaptive Search (AS),
                 techniques such as the Genetic Algorithm (GA), and
                 Genetic Programming GP, for engineering design. This
                 paper illustrates the effectiveness of the genetic
                 programming paradigm for simple fluid systems
                 identification problems. The objective of the paper is
                 to establish methods for systems identification using
                 GP and sets of empirical data. The manipulation and
                 optimisation of these approximate functions that
                 describe the physical process is achieved using the GP
                 approach and by the development of complementary AS
                 techniques. Two new GP operators are introduced, the
                 first searches through possible values of terminals for
                 a particular functional tree structure, and the second
                 uses functional induction to improve the performance of
                 the technique.",
}

Genetic Programming entries for Andrew H Watson Ian C Parmee

Citations