• DocumentCode
    503924
  • Title

    Research on Negotiation Support Systems Based on Hybrid Genetic Algorithms

  • Author

    Xiaoqin, Wu ; Yin, Song ; Xiangqin, Xiang ; Lixin, He

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Hefei Univ., Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    429
  • Lastpage
    433
  • Abstract
    The principle of satisfactory-based negotiation is analyzed. A satisfaction-based decision model is set up. This paper presented a decimal-coded hybrid genetic algorithm for bilateral negotiations. The optimal reserved strategy and the population entropy method were adopted in the genetic algorithm. Optimization of the hybrid genetic algorithm and solution to the satisfy-based decision model based on, of which new methods are given. The results of the experiments show that the new method is more efficient and easier to deal with the problem of negotiation than the traditional algorithms. It is fast and precise for negotiation between both parties with satisfactory project.
  • Keywords
    decision making; electronic commerce; genetic algorithms; negotiation support systems; bilateral negotiations; decimal coded hybrid genetic algorithm; electronic commerce; negotiation support systems; optimal reserved strategy; optimization; population entropy method; satisfaction based decision model; Computational modeling; Computer science; Computer simulation; Decision making; Entropy; Genetic algorithms; Helium; Microelectronics; Software algorithms; Software engineering; Negotiation Support Systems; electronic commerce; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.264
  • Filename
    5319628