An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network
Joint Authors
Du, Wenqiang
Li, Ming
Nian, Fuzhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The disadvantages of particle swarm optimization (PSO) algorithm are that it is easy to fall into local optimum in high-dimensional space and has a low convergence rate in the iterative process.
To deal with these problems, an adaptive particle swarm optimization algorithm based on directed weighted complex network (DWCNPSO) is proposed.
Particles can be scattered uniformly over the search space by using the topology of small-world network to initialize the particles position.
At the same time, an evolutionary mechanism of the directed dynamic network is employed to make the particles evolve into the scale-free network when the in-degree obeys power-law distribution.
In the proposed method, not only the diversity of the algorithm was improved, but also particles’ falling into local optimum was avoided.
The simulation results indicate that the proposed algorithm can effectively avoid the premature convergence problem.
Compared with other algorithms, the convergence rate is faster.
American Psychological Association (APA)
Li, Ming& Du, Wenqiang& Nian, Fuzhong. 2014. An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-471978
Modern Language Association (MLA)
Li, Ming…[et al.]. An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-471978
American Medical Association (AMA)
Li, Ming& Du, Wenqiang& Nian, Fuzhong. An Adaptive Particle Swarm Optimization Algorithm Based on Directed Weighted Complex Network. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-471978
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471978