• DocumentCode
    3669141
  • Title

    Decentralized ordinal optimization (DOO) for networked systems

  • Author

    Peixian Hu;Xi Chen

  • Author_Institution
    Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University, Beijing, 100084, China
  • fYear
    2015
  • Firstpage
    787
  • Lastpage
    792
  • Abstract
    This paper proposes a method to implement ordinal optimization in a decentralized way to deal with optimization problems in networked systems. The key idea of DOO is that every sub-system takes samples independently and then cooperates among neighboring sub-systems to find good enough solution. Adaptive learning is also incorporated in DOO to narrow the search space. Numerical examples illustrate the effectiveness and efficiency of DOO.
  • Keywords
    "Optimization","Topology","Algorithm design and analysis","Adaptation models","Linear programming","Data structures","Network topology"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294177
  • Filename
    7294177
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3669141