• DocumentCode
    3027072
  • Title

    Comparison between hierarchical distributed evolutionary algorithms and general distributed evolutionary algorithms

  • Author

    Zukai Tang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    2158
  • Lastpage
    2161
  • Abstract
    As a special type of distributed evolutionary algorithms (DEAs), hierarchal distributed evolutionary algorithms (HDEAs) have been proposed for years. However, the number of their applications is very limited while simple DEAs are widely used in many field. In this paper, the advantage of HDEAs over simple DEAs is analyzed. Then a comparison experiment between a HDEA and a simple DEA is carried on. Both algorithms are based on the same EA and have the same settings. The results show that the former is significantly better in solutions. Then, the advantage of HDEAs is demonstrated.
  • Keywords
    distributed algorithms; evolutionary computation; HDEAs; general distributed evolutionary algorithms; hierarchical distributed evolutionary algorithms; Convergence; Educational institutions; Evolutionary computation; Genetic algorithms; Optimization; Standards; Topology; Hierarchical Distributed Evolutionary algorithms; convergence; interval; migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885405
  • Filename
    6885405