Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight

Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight

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 t...

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Bibliographic Details
Main Authors: Song Zheng, Xinwei Zhou, Xiaoqing Zheng, Ming Ge
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/3230643
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spelling doaj-f906f74da15445a698e419ff76731c5b2020-11-25T03:24:57ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/32306433230643Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy FlightSong Zheng0Xinwei Zhou1Xiaoqing Zheng2Ming Ge3Hangzhou Dianzi University College of Automation, Hangzhou, ChinaHangzhou Dianzi University College of Automation, Hangzhou, ChinaHangzhou Dianzi University College of Automation, Hangzhou, ChinaHangzhou Dianzi University College of Automation, Hangzhou, ChinaTo 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.http://dx.doi.org/10.1155/2020/3230643
collection DOAJ
language English
format Article
sources DOAJ
author Song Zheng
Xinwei Zhou
Xiaoqing Zheng
Ming Ge
spellingShingle Song Zheng
Xinwei Zhou
Xiaoqing Zheng
Ming Ge
Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
Mathematical Problems in Engineering
author_facet Song Zheng
Xinwei Zhou
Xiaoqing Zheng
Ming Ge
author_sort Song Zheng
title Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
title_short Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
title_full Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
title_fullStr Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
title_full_unstemmed Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight
title_sort improved quantum-behaved particle swarm algorithm based on levy flight
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description 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.
url http://dx.doi.org/10.1155/2020/3230643
work_keys_str_mv AT songzheng improvedquantumbehavedparticleswarmalgorithmbasedonlevyflight
AT xinweizhou improvedquantumbehavedparticleswarmalgorithmbasedonlevyflight
AT xiaoqingzheng improvedquantumbehavedparticleswarmalgorithmbasedonlevyflight
AT mingge improvedquantumbehavedparticleswarmalgorithmbasedonlevyflight
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