For the shortcoming of local - convergence in the progress of GA optimization, the measure of reserving the best individual and changing parameters setting is adopted.

• 针对遗传算法在优化进程中易陷入局部最优解的弱点,采用保护优良个体和改变参数设置的措施,通过桁架优化设计的例子加以证明。