Wireless Access Point Configuration by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  title =        "Wireless Access Point Configuration by Genetic
  author =       "Jianjun Hu and Erik Goodman",
  pages =        "1178--1184",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 design \& evolvable hardware, Real-world applications,
                 Combinatorial \& numerical optimization, STGP",
  URL =          "http://www-rcf.usc.edu/~jianjunh/paper/cec2004_wireless.pdf",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:",
  DOI =          "doi:10.1109/CEC.2004.1330995",
  abstract =     "Wireless access point configuration problem in
                 wireless LAN deployment can be formulated as a
                 non-linear optimization problem with variable number of
                 parameters. In this paper, a strongly-typed genetic
                 programming is applied to solve an abstract version of
                 this problem successfully. It is argued that this
                 problem can be used as a potential benchmark problem
                 for evaluating techniques and investigating issues in
                 strongly typed genetic programming, topologically
                 open-ended synthesis by genetic programming, and
                 simultaneous topological and parametric search",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 \cite{cordella:evocop05} claims to outperform this",

Genetic Programming entries for Jianjun Hu Erik Goodman