论文标题
一种嵌套的遗传算法策略，用于框架的最佳塑料设计
A nested genetic algorithm strategy for the optimal plastic design of frames
论文作者
论文摘要
这里提出了一种能够抵抗地震激发的平面框架最佳设计的创新策略。该过程基于遗传算法（GA），该算法是根据适合在多个设备上并行计算实现的嵌套结构执行的。特别是，该溶液预见了两种嵌套的遗传算法。第一个名为“外部GA”，在预定义的配置文件列表中寻找框架的结构元素的大小，该结构元素与与适当的健身函数的最高值相关的最性能最大的解决方案。除其他考虑因素外，后者的函数是地震安全系数和通过第二算法计算的故障模式，称为“内部GA”。提供了建议的程序的详细信息，并描述了两个不同尺寸的地震设计的应用。
An innovative strategy for the optimal design of planar frames able to resist to seismic excitations is here proposed. The procedure is based on genetic algorithms (GA) which are performed according to a nested structure suitable to be implemented in parallel computing on several devices. In particular, this solution foresees two nested genetic algorithms. The first one, named "External GA", seeks, among a predefined list of profiles, the size of the structural elements of the frame which correspond to the most performing solution associated to the highest value of an appropriate fitness function. The latter function takes into account, among other considerations, of the seismic safety factor and the failure mode which are calculated by means of the second algorithm, named "Internal GA". The details of the proposed procedure are provided and applications to the seismic design of two frames of different size are described.
