• DocumentCode
    554685
  • Title

    Application of genetic annealing algorithm in multi-resource balanced optimization considering maneuver time

  • Author

    Hui Huang ; Siyu Bai ; Xiaoqian Du ; Nansheng Pang

  • Author_Institution
    Coll. of Econ. & Manage., North China Electr. Power Univ., Beijing, China
  • Volume
    6
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    2876
  • Lastpage
    2879
  • Abstract
    The traditional research of resource balanced optimization is based on the uniform distribution of resources and the sacrifice of maneuver time. However, in the actual construction, resources have diversity and the emergent events always exist. So to take account of the diversity of resources and be given some maneuver time to deal with these emergencies is necessary. Based on the analysis of the resource balanced optimization, this paper increased maneuver time as one of the optimization goals in objective function, to construct a balanced optimization model of multi-resource allocation. In addition, a numerical example is given to demonstrate the better effectiveness and practicality of this model.
  • Keywords
    genetic algorithms; simulated annealing; genetic annealing algorithm; maneuver time; multiresource balanced optimization; objective function; resource diversity; simulated annealing; Annealing; Biological cells; Educational institutions; Encoding; Genetic algorithms; Simulated annealing; Genetic Annealing Algorithm; Maneuver Time; Multi-resource; Source Balanced Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023702
  • Filename
    6023702