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Pelican Optimization Algorithm Combining Unscented sigma Point Mutation and Cross ReversionChinese Full TextEnglish Full Text (MT)

ZUO Fengqin;ZHANG Damin;HE Qing;BAN Yunfei;SHEN Qianwen;College of Big Data and Information Engineering,Guizhou University;

Abstract: Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm(POA), a pelican optimization algorithm combining unscented sigma point mutation and cross learning(MPOA) is proposed. Firstly, the random inverse learning strategy is used to generate a random inverse solution for individuals with poor positions in the population, and the unscented sigma points are introduced to mutate the inverse sol... More
  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Automation Technology

  • Classification Code:

    TP18

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