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A Modified NM-PSO Method for Parameter Estimation Problems of Models
Joint Authors
Yang, Ming-Ta
Liu, An
Zahara, Erwie
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Ordinary differential equations usefully describe the behavior of a wide range of dynamic physical systems.
The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary differential equations.
This paper proposes a modified hybrid Nelder-Mead simplex search and particle swarm optimization (M-NM-PSO) method for solving parameter estimation problems.
The M-NM-PSO method improves the efficiency of the PSO method and the conventional NM-PSO method by rapid convergence and better objective function value.
Studies are made for three well-known cases, and the solutions of the M-NM-PSO method are compared with those by other methods published in the literature.
The results demonstrate that the proposed M-NM-PSO method yields better estimation results than those obtained by the genetic algorithm, the modified genetic algorithm (real-coded GA (RCGA)), the conventional particle swarm optimization (PSO) method, and the conventional NM-PSO method.
American Psychological Association (APA)
Liu, An& Zahara, Erwie& Yang, Ming-Ta. 2012. A Modified NM-PSO Method for Parameter Estimation Problems of Models. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993347
Modern Language Association (MLA)
Liu, An…[et al.]. A Modified NM-PSO Method for Parameter Estimation Problems of Models. Journal of Applied Mathematics No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-993347
American Medical Association (AMA)
Liu, An& Zahara, Erwie& Yang, Ming-Ta. A Modified NM-PSO Method for Parameter Estimation Problems of Models. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-993347
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993347