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]
- 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).
- 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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