• DocumentCode
    2584109
  • Title

    Automated design of room automation systems by using an evolutionary optimization method

  • Author

    Oezluek, A. Cemal ; Dibowski, Henrik ; Kabitzsch, Klaus

  • Author_Institution
    Inst. of Appl. Comput. Sci., Dresden Univ. of Technol., Dresden, Germany
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The design of room automation systems is a challenging task with growing complexity and a high optimization potential. On the market, a high number of prefabricated devices from different manufacturers is available for a large variety of functions. This leads to a high number of device combinations and many design variants respectively, that should optimally realize the requirements. To overcome this problem, an efficient and scalable solution method is needed, that can create multi-vendor designs with high quality. In this paper, a method that deals successfully with this objective is presented including test results. With the abstract design of the system and additional requirements given, it can synthesize optimal multi-vendor system designs by using an efficient evolutionary algorithm with directed operations.
  • Keywords
    building management systems; control system synthesis; evolutionary computation; evolutionary optimization method; optimal multivendor system designs; room automation systems automated design; Algorithm design and analysis; Buildings; Circuit testing; Cost function; Design automation; Design optimization; Evolutionary computation; Genetics; Manufacturing automation; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
  • Conference_Location
    Mallorca
  • ISSN
    1946-0759
  • Print_ISBN
    978-1-4244-2727-7
  • Electronic_ISBN
    1946-0759
  • Type

    conf

  • DOI
    10.1109/ETFA.2009.5347070
  • Filename
    5347070