Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{eguchi:2005:CEC,
  author =       "Toru Eguchi and Kotaro Hirasawa and Jinglu Hu and 
                 Sandor Markon",
  title =        "Elevator Group Supervisory Control System Using
                 Genetic Network Programming with Functional
                 Localization",
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
                 Computation",
  year =         "2005",
  editor =       "David Corne and Zbigniew Michalewicz and 
                 Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and 
                 Garrison Greenwood and Tan Kay Chen and 
                 Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and 
                 Jennifier Willies and Juan J. Merelo Guervos and 
                 Eugene Eberbach and Bob McKay and Alastair Channon and 
                 Ashutosh Tiwari and L. Gwenn Volkert and 
                 Dan Ashlock and Marc Schoenauer",
  volume =       "1",
  pages =        "328--335",
  address =      "Edinburgh, UK",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "2-5 " # sep,
  organisation = "IEEE Computational Intelligence Society, Institution
                 of Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9363-5",
  DOI =          "doi:10.1109/CEC.2005.1554702",
  abstract =     "Genetic Network Programming (GNP) whose gene consists
                 of directed graphs has been proposed as a new method of
                 evolutionary computations, and it is recently applied
                 to the Elevator Group Supervisory Control System
                 (EGSCS), a real world problem, to confirm its
                 effectiveness. In the previous study, although the flow
                 of traffic in the elevator system is known and fixed,
                 it is changed dynamically with time in real elevator
                 systems. Therefore, the EGSCS with an adaptive control
                 should be studied considering such changes for
                 practical applications. In this paper, the GNP with
                 functional localisation is applied to the EGSCS to
                 construct such an adaptive system. In the proposed
                 method, the switching GNP can switch the functionally
                 localised GNPs (assigning GNPs) fitted to several kinds
                 of traffic by detecting the change of the flow of
                 traffic. From the simulations, the adaptability and
                 effectiveness of the proposed method are clarified
                 using the traffic data of a day in an office
                 building.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the IEE, and
                 the EPS.",
}

Genetic Programming entries for Toru Eguchi Kotaro Hirasawa Jinglu Hu Sandor Markon

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