Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight

Song Zheng, Xinwei Zhou, Xiaoqing Zheng and Ming Ge

Mathematical Problems in Engineering, 2020, vol. 2020, 1-10

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3230643

DOI: 10.1155/2020/3230643

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