• DocumentCode
    3759327
  • Title

    Quantum-Behaved Flower Pollination Algorithm

  • Author

    Kezhong Lu;Haibo Li

  • Author_Institution
    Dept. of Comput. Sci., Chizhou Univ., Chizhou, China
  • fYear
    2015
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    Flower Pollination algorithm (FPA) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called quantum-behaved flower pollination algorithm (QFPA) is proposed. The method combines the standard Flower Pollination algorithm (FPA) with the quantum-behaved search mechanism to improve the global searching ability and accuracy. The simulation experiments show that the proposed QFPA algorithm can improve the convergence speed and the quality of solutions effectively.
  • Keywords
    "Algorithm design and analysis","Optimization","Convergence","Standards","Clustering algorithms","Benchmark testing","Switches"
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications for Business Engineering and Science (DCABES), 2015 14th International Symposium on
  • Type

    conf

  • DOI
    10.1109/DCABES.2015.24
  • Filename
    7429558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3759327