Genetic Programming of a Microcontrolled Water Bath Plant

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Douglas {Mota Dias} and Marco Aurelio C. Pacheco and 
                 Jose Franco M. Amaral",
  title =        "Genetic Programming of a Microcontrolled Water Bath
  booktitle =    "Knowledge-Based Intelligent Information and
                 Engineering Systems, 10th International Conference, KES
                 2006, Proceedings, Part III",
  year =         "2006",
  editor =       "Bogdan Gabrys and Robert J. Howlett and 
                 Lakhmi C. Jain",
  volume =       "4253",
  series =       "Lecture Notes in Computer Science",
  pages =        "307--314",
  address =      "Bournemouth, UK",
  publisher_address = "Berlin / Heidelberg",
  month =        oct # " 9-11",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0302-9743",
  ISBN =         "3-540-46542-1",
  DOI =          "doi:10.1007/11893011_40",
  abstract =     "Typically, control system design leads to a
                 higher-order non-linear function of the systems state
                 variables. As a result, it is very hard to find a
                 satisfactory mathematical solution. On the other hand,
                 considering a microcontroller based implementation,
                 another difficulty is to program it to carry out the
                 desired control algorithm. This paper presents the
                 application of linear genetic programming in the
                 automatic synthesis of a microcontroller assembly
                 program, which performs an optimised control of a water
                 bath plant. The synthesis starts from the plant's
                 mathematical modelling and supplies directly a assembly
                 code for the microcontroller platform. When comparing
                 the control performance of the synthesised program with
                 that of a neuro-fuzzy based controller, the synthesized
                 program proved to perform slightingly better.",
  notes =        "ISBN 978-3-540-46542-3",

Genetic Programming entries for Douglas Mota Dias Marco Aurelio Cavalcanti Pacheco Jose F M Amaral