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Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight.
- Source :
-
Mathematical Problems in Engineering . 5/28/2020, p1-10. 10p. - Publication Year :
- 2020
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1024123X
- Database :
- Academic Search Index
- Journal :
- Mathematical Problems in Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 143474497
- Full Text :
- https://doi.org/10.1155/2020/3230643