• DocumentCode
    1557919
  • Title

    On spanning-tree recombination in evolutionary large-scale network problems - application to electrical distribution planning

  • Author

    Carvalho, P.M.S. ; Ferreira, L.A.F.M. ; Barruncho, L.M.F.

  • Author_Institution
    Dept. de Engenharia Electrotecnica e de Comput., Instituto Superior Tecnico, Lisbon, Portugal
  • Volume
    5
  • Issue
    6
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    623
  • Lastpage
    630
  • Abstract
    We report the key algorithms involved in the recombination-based evolutionary software developed for planning electrical distribution networks. We focus on the dimensionality problem of large-scale networks and on the specificities of its search space. We report the difficulties in handling topology constraints and present both the geno-type and the operators to overcome such difficulties. The operators are designed to process meaningful topological information as geno-type substructures and turn the radiality and connectivity into genetic transmissible properties. First, a theoretical example is presented to illustrate important differences between other common approaches and the approach taken. Then, a real electrical industry application is presented to illustrate the ability of the approach to handle large-scale distribution-network problems
  • Keywords
    genetic algorithms; network topology; power distribution planning; trees (mathematics); dimensionality; electrical distribution networks; evolutionary computation; large-scale network; network planning; recombination; search space; topology constraints; Cables; Intelligent networks; Investments; Joining processes; Large-scale systems; Network topology; Process design; Software algorithms; Tree graphs; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/4235.974844
  • Filename
    974844