• DocumentCode
    526684
  • Title

    Notice of Retraction
    A heuristic genetic algorithm for multi-mode resource-constrained project scheduling problem

  • Author

    Li Zheng ; Qin Jinlei ; Zhang Changming

  • Author_Institution
    Dept. of Comput. Sci. & Technol., North China Electr. Power Univ. (Baoding), Baoding, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    582
  • Lastpage
    585
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    A heuristic genetic algorithm for multi-mode resource-constrained project scheduling problem is given because the requisition of constraints of using renewable and nonrenewable resource in practical engineering is taken into consideration. Consumption of nonrenewable resource, weighted coefficient and the duration are combined, and objective function is constructed dynamically by choosing different weights. In this way, the optimal solution of scheduling mode can be gained which meets different needs of projects. It has been proved that by adopting the algorithm, not only duration can be the shortest, but also nonrenewable resources can be saved maximum, which will be great significance to achieve the optimal arrangement of time and resources in practical production.
  • Keywords
    genetic algorithms; project management; scheduling; heuristic genetic algorithm; multimode resource constrained project scheduling problem; objective function; optimal solution; weighted coefficient; Encoding; heuristic genetic algorithm; multi-mode resource-constrained project scheduling; scheduling pattern sequence; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564886
  • Filename
    5564886