基于遗传算法的设计地震反应谱标定方法

Calibrating Method of Seismic Response Spectrum Based on Genetic Algorithm

基于自然进化原理的遗传算法是一种解决复杂非线性规划问题十分有前景的方法。对遗传算法中一些有代表性的算法作了简要分析和评价。介绍了用地面峰值加速度(PGA)、峰值速度(PGV)和峰值位移(PGD)三个参数标定设计地震反应谱的模型。针对此分段非线性函数规划问题,运用MATLAB编写遗传算法程序进行了计算。计算表明遗传算法在全局优化、非线性优化、多参数优化等方面表现出了传统算法无法比拟的优势。

Genetic algorithm based on natural evolutionism is a good method to resolve complicated nonlinear programming problem. Some classical works on genetic algorithm were analyzed and remarked. A model used PGA, PGV and PGD for calibrating seismic response spectrum was introduced. Using a genetic algorithm coded by MATLAB, the nonlinear programming problem was calculated. It indicates that the genetic algorithm has much more superiority than traditional algorithm in global optimization, nonlinear optimization and multiparameter optimization.