C10 - Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms for the identification of Bouc-Wen hysteretic systems

Title: Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms for the identification of Bouc-Wen hysteretic systems
Authors: Charalampakis AE, Dimou CK
Type: Conference paper
Conference: 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering (CSC2011)
Venue: Chania, Crete, Greece
Date: 2011
Language: English

[abstract]

In this paper, several variants of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms are employed for the identification of a Bouc- Wen hysteretic system that represents a full-scale bolted-welded steel connection. The purpose of this work is to assess their comparative performance in a highly nonlinear identification problem. Interesting results are produced that reveal the strengths and weaknesses of each algorithm.

[cite as]

Charalampakis AE, Dimou CK. Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms for the identification of Bouc-Wen hysteretic systems. Proc. 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering (CSC2011), Chania, Crete, Greece; 2011.

[cited by]

  1. Verly, A., “Caracterização de Agrupamentos de Termos na Seleção de Estrutura de Modelos Polinomiais NARX”, PhD Thesis, Universidade Federal de Minas Gerais, 2012 (in Brazilian Portuguese).
  2. Ma, L., Li, W., Wang, Q., Zhang, X., Jin, Y., Huang, H., Liu, Y., Yu, Y., Ma, Y., “Identification of the bouc-wen hysteresis model for piezoelectric actuated micro/nano electromechanical system”, Journal of Computational and Theoretical Nanoscience, 10(4) (2013):983–988.

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