Parameter Estimation Using a SCE Strategy

Authors:
Pengfei Li;Hesheng Tang;Zhaoliang Wang
Affiliations:
Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai, PRC 200092;Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai, PRC 200092;Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai, PRC 200092
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Year:
2009

Citing 2
Cited 0

Shuffled complex evolution approach for effective and efficient global minimization

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Modified genetic algorithm strategy for structural identification

Computers and Structures

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Abstract

As a novel evolutionary computation technique, shuffled complex evolution (SCE) has attracted much attention and wide applications for solving complex optimization problems in different fields. This paper utilizes SCE strategy to estimate parameters of structural systems, which could be formulated as a multi-modal optimization problem with high dimension. Simulation results for identifying the parameters of a structural system under four conditions including limited output data, noise polluted signals, and no prior knowledge of mass, damping, or stiffness are presented to demonstrate the effectiveness of the proposed method.