An Evolutionary Algorithm for the Input-Output Block Assignment Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Kit Yan Chan and Terence C. Fogarty",
  title =        "An Evolutionary Algorithm for the Input-Output Block
                 Assignment Problem",
  booktitle =    "Genetic Programming 7th European Conference, EuroGP
                 2004, Proceedings",
  year =         "2004",
  editor =       "Maarten Keijzer and Una-May O'Reilly and 
                 Simon M. Lucas and Ernesto Costa and Terence Soule",
  volume =       "3003",
  series =       "LNCS",
  pages =        "250--258",
  address =      "Coimbra, Portugal",
  publisher_address = "Berlin",
  month =        "5-7 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-21346-5",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-24650-3_23",
  abstract =     "A procedure for system decomposition is developed for
                 decentralised multi-variable systems. Optimal
                 input-output pairing techniques are used to rearrange a
                 large multi variable system into a structure that is
                 closer to the block-diagonal decentralised form. The
                 problem is transformed into a block assignment problem.
                 An evolutionary algorithm is developed to solve this
                 hard IP problem. The result shows that the proposed
                 algorithm is simple to implement and efficient to find
                 the reasonable solution.",
  notes =        "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
                 conjunction with EvoCOP2004 and EvoWorkshops2004",

Genetic Programming entries for Kit Yan Chan Terence C Fogarty