Using genetic programming to improve the performance of wireless LAN access point configuration

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

@InProceedings{Yasuda:2006:ASPGP,
  title =        "Using genetic programming to improve the performance
                 of wireless LAN access point configuration",
  author =       "Yuta Yasuda and Yuji Sato",
  booktitle =    "Proceedings of the Third Asian-Pacific workshop on
                 Genetic Programming",
  year =         "2006",
  editor =       "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
  pages =        "57--68",
  ISSN =         "18590209",
  address =      "Military Technical Academy, Hanoi, VietNam",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/aspgp06/yutayasuda.pdf",
  size =         "12 pages",
  abstract =     "Radio communication speed has improved by leaps and
                 bounds with developments in communication technology.
                 In a wireless LAN, clients connect to a network to
                 communicate with access points. Various approaches have
                 benn used over the years to maximise the efficiency of
                 access point configurations, such as the simplex
                 method, Tabu search, and the genetic algorithm. This
                 paper describes how genetic programming can be applied
                 to the problem in a more deterministic function to
                 improve the convergence speed. Linear genetic
                 programming using arrays to shorten the running time
                 and bonsai manipulation, hierarchical pruning of genes
                 based on evaluation of terminal nodes, are proposed. An
                 experiment was carried out to compare the performance
                 with that of standard genetic programming.
                 Consequently, it was confirmed that linear genetic
                 programming reduced the running time and that the
                 proposed bonsai manipulation improves not only the
                 convergence speed, but also the evaluation results.",
  notes =        "http://www.aspgp.org",
}

Genetic Programming entries for Yuta Yasuda Yuji Sato

Citations