Elevator Group Supervisory Control System Using Genetic Network Programming with Reinforcement Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Jin Zhou and Toru Eguchi and Kotaro Hirasawa and 
                 Jinglu Hu and Sandor Markon",
  title =        "Elevator Group Supervisory Control System Using
                 Genetic Network Programming with Reinforcement
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
  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 =        "336--342",
  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.2005.1554703",
  abstract =     "Since Genetic Network Programming (GNP) has been
                 proposed as a new method of evolutionary computation,
                 many studies have been done on its applications which
                 cover not only virtual world problems but also real
                 world systems like Elevator Group Supervisory Control
                 System (EGSCS) which is a very large scale stochastic
                 dynamic optimisation problem. From those researches,
                 most of the significant features of GNP have been
                 verified comparing to Genetic Algorithm (GA) and
                 Genetic Programming (GP). Especially, the improvement
                 of the performances on EGSCS using GNP showed an
                 interesting and promising prospect in this field. On
                 the other hand, some studies based on GNP with
                 Reinforcement Learning (RL) revealed a better
                 performance over conventional GNP on some problems such
                 as tileworld models. As a basic study, Reinforcement
                 Learning is introduced in this paper expecting to
                 enhance EGSCS controller using GNP.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the IEE, and
                 the EPS.",

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