• DocumentCode
    3730992
  • Title

    Bat algorithm with inertia weight

  • Author

    Zhihua Cui; Feixiang Li; Qi Kang

  • Author_Institution
    Department of Control Science and Computer Engineering, Tongji University, Shanghai, China 201804
  • fYear
    2015
  • Firstpage
    792
  • Lastpage
    796
  • Abstract
    Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats. However, the exploitation capability is not well for some multi-model problems. In this paper, a new parameter, inertia weight is introduced to improve the local search capability. In this new variant, the inertia weight is used to control the influence of the inertia of previous velocity for each bat. To test the performance, the CEC2013 shifted and rotated benchmark problems are used to compare, simulation results show our method is validity.
  • Keywords
    "Algorithm design and analysis","Standards","Simulation","Optimization","Electronic mail","Benchmark testing","Convergence"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382606
  • Filename
    7382606
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3730992