• DocumentCode
    3447531
  • Title

    Analysis, mathematical modeling and algorithm for software project scheduling using BCGA

  • Author

    Hanchate, Dinesh Bhagwan

  • Author_Institution
    Comput. Eng. Dept., Vidya Pratishthan´´s Coll. of Eng., Baramati, India
  • Volume
    3
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Several applications of G.A have been designed for various areas where we can do optimum scheduling among the various approaches used for the scheduling. Task can be scheduled by first come first serve basis, by time sharing system, by priority bi- chromosomal representation in genetic has been used as a base of the scheduling technique which is incorporated clustering and merging. This paper shows the idea about the prototype for scheduling various tasks in software project.
  • Keywords
    genetic algorithms; merging; pattern clustering; scheduling; software engineering; bi-chromosomal genetic algorithm; clustering technique; merging technique; software project scheduling; time sharing system; Schedules; BCGA[1]; Genetic algorithm; employee in project; task scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658695
  • Filename
    5658695