Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
Joint Authors
Zheng, Song
Zhou, Xinwei
Zheng, Xiaoqing
Ge, Ming
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zheng, Song& Zhou, Xinwei& Zheng, Xiaoqing& Ge, Ming. 2020. Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194313
Modern Language Association (MLA)
Zheng, Song…[et al.]. Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1194313
American Medical Association (AMA)
Zheng, Song& Zhou, Xinwei& Zheng, Xiaoqing& Ge, Ming. Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194313