Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm

S. Talatahari, H. Mohaggeg, Kh. Najafi and A. Manafzadeh

Mathematical Problems in Engineering, 2014, vol. 2014, 1-6

Abstract:

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:479197

DOI: 10.1155/2014/479197

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