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Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight

Author

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  • Song Zheng
  • Xinwei Zhou
  • Xiaoqing Zheng
  • Ming Ge

Abstract

To improve convergence speed and search accuracy, this paper proposes an improved quantum-behaved particle swarm optimization algorithm based on Levy flight. The improved algorithm reduces the probability of a local optimal solution through Levy flight and enhances the accuracy of the later search through a postsearch strategy. During the search process, the probability of quantum behavior is retained and the directivity of the particles is strengthened. According to the simulation comparison results, the improved quantum-behaved particle swarm algorithm exhibits faster convergence speed and higher accuracy.

Suggested Citation

  • Song Zheng & Xinwei Zhou & Xiaoqing Zheng & Ming Ge, 2020. "Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, May.
    • Handle: RePEc:hin:jnlmpe:3230643
    DOI: 10.1155/2020/3230643
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