A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-25
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
A novel dynamic multistage hybrid swarm intelligence optimization algorithm is introduced, which is abbreviated as DM-PSO-ABC.
The DM-PSO-ABC combined the exploration capabilities of the dynamic multiswarm particle swarm optimizer (PSO) and the stochastic exploitation of the cooperative artificial bee colony algorithm (CABC) for solving the function optimization.
In the proposed hybrid algorithm, the whole process is divided into three stages.
In the first stage, a dynamic multiswarm PSO is constructed to maintain the population diversity.
In the second stage, the parallel, positive feedback of CABC was implemented in each small swarm.
In the third stage, we make use of the particle swarm optimization global model, which has a faster convergence speed to enhance the global convergence in solving the whole problem.
To verify the effectiveness and efficiency of the proposed hybrid algorithm, various scale benchmark problems are tested to demonstrate the potential of the proposed multistage hybrid swarm intelligence optimization algorithm.
The results show that DM-PSO-ABC is better in the search precision, and convergence property and has strong ability to escape from the local suboptima when compared with several other peer algorithms.
American Psychological Association (APA)
Wu, Daqing& Zheng, Jianguo. 2012. A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-482173
Modern Language Association (MLA)
Wu, Daqing& Zheng, Jianguo. A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-482173
American Medical Association (AMA)
Wu, Daqing& Zheng, Jianguo. A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-482173
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482173