Parameter Estimation Using a SCE Strategy

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.