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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 479197, 6 pages
Research Article

Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm

1Department of Civil Engineering, University of Tabriz, Tabriz, Iran
2Department of Civil Engineering, Azad University of Mahabad, Mahabad, Iran

Received 19 February 2014; Revised 7 June 2014; Accepted 11 June 2014; Published 13 July 2014

Academic Editor: Fei Kang

Copyright © 2014 S. Talatahari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.