中文摘要：

分析了遗传模拟退火算法的特点并将其用于桁架结构离散变量的优化设计中，以十杆桁架为例进行了数值实验。算例结果表明，遗传模拟退火算法在整体搜索的同时，采用退火操作进行局部搜索，提高了算法的局部搜索能力，有效的克服了遗传算法迭代缓慢的缺点，把遗传模拟退火算法用于桁架离散变量的优化设计中是行之有效的。

英文摘要：

This paper applies genetic simulated annealing algorithm （SAGA） to solving the truss structural optimization with discrete variables. The comparison between the result obtained by GA and that by SAGA indicates that SAGA is an effective method for structural optimization with discrete variables. It has the global searching ability together with the local fast converging ability. The experiments indicate SAGA can improve the evolution speed and the abilities of seeking the global excellent result.