【摘要】 使用SCE(Shuffled Complex Evolution)算法进行结构系统参数识别,并将该问题描述为一个多峰值非线性高维优化问题。文中给出多种工况下的数值模拟算例,包括不完备输出信息、噪声干扰和无先验参数信息等。识别结果证明了SCE算法应用于结构系统识别问题的可行性、稳定性和有效性。更多还原

【Abstract】 Shuffled Complex Evolution(SCE) algorithm is a heuristic method that has yielded promising results for solving complex optimization problems.The characteristics of SCE are its simple structure,easy use,exactness of solution,and robustness.This paper utilizes a SCE strategy to parameter estimation of structural systems,which could be formulated as a multi-modal numerical optimization problem with high dimensions.Some results obtained with this algorithm are presented for the identification of structural systems under conditions including limited input/output data,noise polluted signals,and no prior knowledge of parameters.The results demonstrate the applicability,stability and efficiency of the SCE algorithm for structural system identification.更多还原