Double-deck Elevator System using Genetic Network Programming with Genetic Operators based on Pheromone Information

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  author =       "Lu Yu and Jin Zhou and Fengming Ye and Shingo Mabu and 
                 Kaoru Shimada and Kotaro Hirasawa and Sandor Markon",
  title =        "Double-deck Elevator System using Genetic Network
                 Programming with Genetic Operators based on Pheromone
  year =         "2008",
  editor =       "Marc Ebner and Mike Cattolico and 
                 Jano {van Hemert} and Steven Gustafson and Laurence D. Merkle and 
                 Frank W. Moore and Clare Bates Congdon and 
                 Christopher D. Clack and Frank W. Moore and William Rand and 
                 Sevan G. Ficici and Rick Riolo and Jaume Bacardit and 
                 Ester Bernado-Mansilla and Martin V. Butz and 
                 Stephen L. Smith and Stefano Cagnoni and Mark Hauschild and 
                 Martin Pelikan and Kumara Sastry",
  isbn13 =       "978-1-60558-131-6",
  booktitle =    "GECCO-2008 Late-Breaking Papers",
  pages =        "2239--2244",
  address =      "Atlanta, GA, USA",
  URL =          "",
  DOI =          "doi:10.1145/1388969.1389052",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "12-16 " # jul,
  keywords =     "genetic algorithms, genetic programming, ant colony
                 optimisation, elevator group supervisory control
                 system, genetic network programming, genetic operators,
                 hybrid algorithms",
  abstract =     "Genetic Network Programming (GNP), one of the extended
                 evolutionary algorithms was proposed, whose gene is
                 constructed by the directed graph. GNP is distinguished
                 from other evolutionary techniques in terms of its
                 compact structure and implicit memory function. GNP can
                 perform a global searching, but it lacks of the
                 exploitation ability. Since the behaviour of GNP is
                 characterized by the balance between exploitation and
                 exploration in the search space, we proposed a hybrid
                 algorithm in this paper that combines GNP with Ant
                 Colony Optimization (ACO). The genetic operators are
                 operated using the pheromone information in some
                 special generations. We applied the proposed hybrid
                 algorithm to a complicated real world problem, that is
                 , Elevator Group Supervisory Control System (EGSCS).
                 The simulation results showed the effectiveness of the
                 proposed algorithm.",
  notes =        "Distributed on CD-ROM at GECCO-2008

                 ACM Order Number 910081. Also known as \cite{1389052}",

Genetic Programming entries for Lu Yu Jin Zhou Fengming Ye Shingo Mabu Kaoru Shimada Kotaro Hirasawa Sandor Markon