Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis
Joint Authors
Mokhlis, H.
Mustafa, Mohd Wazir
Bakar, A. H. A.
Abdullah, M. N.
Jamian, J. J.
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-25
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is widely used in various applications, due to its simplicity and capability in obtaining optimal results.
However, ordinary PSOs may be trapped in the local optimal point, especially in high dimensional problems.
To overcome this problem, an efficient Global Particle Swarm Optimization (GPSO) algorithm is proposed in this paper, based on a new updated strategy of the particle position.
This is done through sharing information of particle position between the dimensions (variables) at any iteration.
The strategy can enhance the exploration capability of the GPSO algorithm to determine the optimum global solution and avoid traps at the local optimum.
The proposed GPSO algorithm is validated on a 12-benchmark mathematical function and compared with three different types of PSO techniques.
The performance of this algorithm is measured based on the solutions’ quality, convergence characteristics, and their robustness after 50 trials.
The simulation results showed that the new updated strategy in GPSO assists in realizing a better optimum solution with the smallest standard deviation value compared to other techniques.
It can be concluded that the proposed GPSO method is a superior technique for solving high dimensional numerical function optimization problems.
American Psychological Association (APA)
Jamian, J. J.& Abdullah, M. N.& Mokhlis, H.& Mustafa, Mohd Wazir& Bakar, A. H. A.. 2014. Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-463994
Modern Language Association (MLA)
Jamian, J. J.…[et al.]. Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis. Journal of Applied Mathematics No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-463994
American Medical Association (AMA)
Jamian, J. J.& Abdullah, M. N.& Mokhlis, H.& Mustafa, Mohd Wazir& Bakar, A. H. A.. Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-463994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463994