• DocumentCode
    2361968
  • Title

    Evaluation and routing of power transmission lines by using AHP method and genetic algorithm

  • Author

    Hosseini, Mostafa ; Bahmani, Homa Famil

  • Author_Institution
    Dept. of Artificial Intell., Azad Univ., Ahujaz, Iran
  • fYear
    2011
  • fDate
    20-23 March 2011
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    Today optimization is one of the most important issues in all engineering fields. According to importance of this issue in planning power transmission lines, appropriate areas have been accreted for numerous researches. Widespread usages of GIS application and its combination with GA base methods offer practical solution for power transmission lines design. In this paper, we first study about efficient criteria for selecting appropriate points for installing towers, and then we can evaluate available points for installing power towers by one of the multi-criteria decision-making analysis, named Analytic Hierarchy Process. As we know, all of these nodes are not suitable for being one of the transmission line Points. So by using this procedure (AHP) we calculate cost function of transmission line between towers. Finally, with GA algorithm, the best and the most optimum route between source and destination will be selected.
  • Keywords
    decision making; genetic algorithms; geographic information systems; poles and towers; power transmission lines; AHP method; GIS application; analytic hierarchy process; genetic algorithm; multicriteria decision-making analysis; optimization; power towers; power transmission lines; routing; Biological cells; Cost function; Couplings; Genetic algorithms; Geographic Information Systems; Poles and towers; Power transmission lines; AHP Method; Genetic Algorithm; Geographical Information System; Power Distribution Line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Informatics (ISCI), 2011 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-61284-689-7
  • Type

    conf

  • DOI
    10.1109/ISCI.2011.5958886
  • Filename
    5958886