• DocumentCode
    2465917
  • Title

    On the Analysis of the Quantum-inspired Evolutionary Algorithm with a Single Individual

  • Author

    Han, Kuk-Hyun ; Kim, Jong-Hwan

  • Author_Institution
    Samsung Electron. Co., Ltd., Suwon
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2622
  • Lastpage
    2629
  • Abstract
    This paper discusses the reason why QEA works and verifies how QEA works. The theoretical analysis of the simplified model of the segment process of QEA shows that QEA with a single individual for OneMax problem guarantees the global solution in terms of expected running number of generations. The analysis for exploration shows clearly that QEA starts with a global search scheme and changes automatically into a local search scheme as generation advances because of its inherent probabilistic mechanism, which leads to a good balance between exploration and exploitation. For comparison purpose, simulated annealing is considered with three test functions. The results support the conclusions derived from the theoretical analysis of QEA with a single individual.
  • Keywords
    evolutionary computation; probability; quantum computing; search problems; OneMax problem; global search scheme; local search scheme; probabilistic mechanism; quantum-inspired evolutionary algorithm; segment process; theoretical analysis; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Guidelines; Principal component analysis; Quantum computing; Research and development; Simulated annealing; Space exploration; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688636
  • Filename
    1688636