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Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm

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  • S. Talatahari
  • H. Mohaggeg
  • Kh. Najafi
  • A. Manafzadeh

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.

Suggested Citation

  • S. Talatahari & H. Mohaggeg & Kh. Najafi & A. Manafzadeh, 2014. "Solving Parameter Identification of Nonlinear Problems by Artificial Bee Colony Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-6, July.
    • Handle: RePEc:hin:jnlmpe:479197
    DOI: 10.1155/2014/479197
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