• DocumentCode
    1653039
  • Title

    Optimizing system requirements with evolutionary computation

  • Author

    Sutcliffe, Alistair ; Chang, Wei-Chun ; Neville, Richard

  • Author_Institution
    Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
  • Volume
    1
  • fYear
    2002
  • Firstpage
    495
  • Lastpage
    499
  • Abstract
    We introduce evolutionary computation into requirements engineering and propose a process for selecting an optimal set of components to satisfy fitness criteria of system reliability. The system architecture and algorithms are described with a case study of a command and control system. The results of the evolutionary requirements analysis are discussed
  • Keywords
    command and control systems; evolutionary computation; optimisation; systems analysis; systems engineering; algorithms; command and control system; evolutionary computation; evolutionary requirements analysis; fitness criteria; optimal components; requirements engineering; system architecture; system reliability; system requirements optimization; Artificial intelligence; Command and control systems; Computer architecture; Computerized monitoring; Design engineering; Evolutionary computation; Human computer interaction; Modeling; Reliability engineering; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006284
  • Filename
    1006284