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Volume 39 Issue 4
Apr.  2013
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Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  39(4): 458-462,473.
LIU Xiao-dong, LIU Wen. Optimization of Aircraft Structural Economic Maintenance Programme[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(5): 561-564. (in Chinese)
Citation: Liu Baoning, Zhang Weiguo, Li Guangwen, et al. Improved multi-objective particle swarm optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 458-462,473. (in Chinese)
shu

Improved multi-objective particle swarm optimization algorithm

  • 1.

    College of automation, Northwestern Polytechnical University, Xi’an 710129, China

  • 2. China Academy of Space Technology, Beijing 100094, China

  • Received Date: 26 Apr 2012
  • Publish Date: 30 Apr 2013
    Abstract
  • In order to enhance the convergence and diversity of multi-objective particle swarm optimization algorithm, an improved multi-objective particle swarm optimization algorithm was proposed. The Kent mapping was used to initialize the population, and the target space was divided into several fan-shaped regions evenly. A new diversity and convergence criteria was proposed to select the optimal solutions. An improved particle swarm update formula was used for global search. The clustering algorithm was used to analyze the angles between external population and the axis, and ensure the diversity of external population. Compared with the multi-objective particle swarm optimization algorithm and the nondominated sorting genetic algorithm II, the experiment of benchmark functions simulation verifies the effectiveness of the improved algorithm.

     

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    • References(12)
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