• DocumentCode
    1752903
  • Title

    A Novel Quantum Evolutionary Algorithm and Its Application

  • Author

    Gao, Hui ; Xu, Guanghui ; Wang, Zheren

  • Author_Institution
    Sch. of Commun. Sci. & Eng., Harbin Inst. of Technol.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    3638
  • Lastpage
    3642
  • Abstract
    Based on the probability amplitude ratio of the corresponding states of quantum bits, the rotation angle of quantum rotation gate is calculated adaptively and a new quantum rotation gate is constructed. A novel quantum evolutionary algorithms (NQEA), whose core is that the designed quantum rotation gate is used as evolutionary strategy is introduced, rapid convergence and good global search capability characterize the performance of NQEA, and NQEA is able to possess the two characteristics of exploration and exploitation, simultaneously. NQEA is applied on the physical distribution vehicle routing problem - a typical combinatorial optimization problem, the results show that NQEA is superior to the previous quantum evolutionary algorithm as well as other conventional genetic algorithms
  • Keywords
    evolutionary computation; quantum gates; transportation; combinatorial optimization problem; global search capability; novel quantum evolutionary algorithm; physical distribution vehicle routing; probability amplitude ratio; quantum bit state; quantum rotation gate; rotation angle; Algorithm design and analysis; Automation; Convergence; Evolutionary computation; Genetic algorithms; Intelligent control; Probability; Routing; Vehicles; physical distribution; quantum evolutionary algorithm; quantum rotation gate; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713048
  • Filename
    1713048