Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InCollection{langdon:1997:gpgridIEE,
  author =       "W. B. Langdon and P. C. Treleaven",
  title =        "Scheduling Maintenance of Electrical Power
                 Transmission Networks Using Genetic Programming",
  booktitle =    "Artificial Intelligence Techniques in Power Systems",
  publisher =    "IEE",
  year =         "1997",
  editor =       "Kevin Warwick and Arthur Ekwue and Raj Aggarwal",
  chapter =      "10",
  pages =        "220--237",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-85296-897-3",
  URL =          "http://www.iee.org/Publish/Books/Power/Po022c.cfm#10.Scheduling",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/grid_iee/",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_iee_gpgrid.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_iee_gpgrid.prn.gz",
  abstract =     "The National Grid Company Plc is responsible for the
                 maintenance of the high voltage electricity
                 transmission network in England and Wales. It must plan
                 maintenance so as to minimize costs taking into
                 account:

                 (1) location and size of demand,

                 (2) generator capacities and availabilities,

                 (3) electricity carrying capacity of the remainder of
                 the network, that part not undergoing
                 maintenance.

                 Previous work showed the combination of a Genetic
                 Algorithm using an order or permutation chromosome
                 combined with hand coded ``Greedy'' Optimizers can
                 readily produce an optimal schedule for a four node
                 test problem. Following this the same GA has been used
                 to find low cost schedules for the South Wales region
                 of the UK high voltage power network.

                 This paper describes the evolution of the best known
                 schedule for the base South Wales problem using Genetic
                 Programming starting from the hand coded heuristics
                 used with the GA.",
  notes =        "update of \cite{langdon:1996gpgridRN} Book published
                 in conjunction with IEE Workshop January 1997
                 http://www.iee.org.uk/publish/books/power.html#Artificial_intelligence",
  notes =        "wbl_iee_gpgrid.prn is MS Postscript and does not
                 display in some versions of ghostview, seems to print
                 ok",
}

Genetic Programming entries for William B Langdon Philip Treleaven