• DocumentCode
    2695218
  • Title

    Integrating planning and scheduling based on genetic algorithms to an workflow system

  • Author

    Alves, Fabiano S R ; Guimarães, Kairon F. ; Fernandes, Márcia A.

  • Author_Institution
    Fed. Univ. of Uberlandia, Uberlandia
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3766
  • Lastpage
    3775
  • Abstract
    Workflow systems have been widely employed; however, the automatic generation of process models, specially applied in the Web Service domains is still an area to be explored. The Web services composition in Workflow is an emerging paradigm that allows the interaction both of internal applications and of applications that go beyond organizational boundaries. In this context, this paper presents an architecture based on the use of a genetic planner in order to obtain the automatic generation of models for Web Service Workflow. A simulation environment is also proposed by using scheduling techniques based on the use of genetic algorithms to select the most suitable process model.
  • Keywords
    Web services; genetic algorithms; planning; scheduling; Web Service domain; Web services composition; automatic process model generation; genetic algorithms; planning; scheduling; simulation environment; workflow system; Application software; Artificial intelligence; Business; Computer architecture; Genetic algorithms; Process planning; Processor scheduling; Service oriented architecture; Web and internet services; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424961
  • Filename
    4424961