• DocumentCode
    3307002
  • Title

    A Novel Crossover Operator for Particle Swarm Algorithm

  • Author

    Xie, Jiahua ; Yang, Jie

  • Author_Institution
    Sch. of Comput. & Inf., Shanghai Second Polytech. Univ., Shanghai, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    This paper presents a novel particle swarm optimization (PSO) algorithm to enhance the performance of PSO. The proposed approach, called LPSO, employs a Laplace Crossover operator (LC) to generate good candidate solutions. In order to verify the performance of LPSO, we test it on six well-known benchmark functions. The simulation results show that LPSO achieves better results than standard PSO in all test cases.
  • Keywords
    Benchmark testing; Computational modeling; Computer interfaces; Computer vision; Convergence; Evolutionary computation; Genetic mutations; Machine vision; Man machine systems; Particle swarm optimization; crossover; evolutionary computation; optimization; particle swarm optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.123
  • Filename
    5532690
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3307002