Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented.
In view of the existing quantum behaved particle swarm optimization algorithm for the premature convergence problem, put forward a quantum particle swarm optimization algorithm based on artificial fish swarm.
The new algorithm based on quantum behaved particle swarm algorithm, introducing the swarmand following activities, meanwhile using the adaptive parameters, to avoid it falling into localextremum of population.
The experimental results show the improved algorithm to improve the optimization ability of the algorithm.
American Psychological Association (APA)
Yumin, Dong& Li, Zhao. 2014. Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1044386
Modern Language Association (MLA)
Yumin, Dong& Li, Zhao. Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1044386
American Medical Association (AMA)
Yumin, Dong& Li, Zhao. Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1044386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044386