Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm
Joint Authors
Najafi, Kh.
Mohaggeg, H.
Manafzadeh, A.
Talatahari, Siamak
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-13
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A new optimization method based on artificial bee colony (ABC) algorithm is presented for solving parameter identification problems.
The ABC algorithm as a swarm intelligent optimization algorithm is inspired by honey bee foraging.
In this paper, for the first time, the ABC method is developed to determine the optimum parameters of Bouc-Wen hysteretic systems.
The proposed method exhibits efficiency, robustness, and insensitivity to noise-corrupted data.
The results of the ABC are compared with those other optimization algorithms from the literature to show the efficiency of this technique for solving parameter identification problems.
American Psychological Association (APA)
Talatahari, Siamak& Mohaggeg, H.& Najafi, Kh.& Manafzadeh, A.. 2014. Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-474788
Modern Language Association (MLA)
Talatahari, Siamak…[et al.]. Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-474788
American Medical Association (AMA)
Talatahari, Siamak& Mohaggeg, H.& Najafi, Kh.& Manafzadeh, A.. Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-474788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474788
