基于自适应遗传算法的重力坝体型优化设计  

Optimal Design for Gravity Dam Section Based on Adaptive Genetic Algorithm

作　　者：赵基花[1] 李守义[1] 付永锋[1] 段永涛[1] 

机构地区：[1]西安理工大学水电学院,陕西西安710048

出　　处：《红水河》2004年第3期44-46,共3页Hongshui River

摘　　要：针对简单遗传算法中交叉概率与变异概率随进化过程恒定不变的缺点,提出了自适应遗传算法并将其用于重力坝体型优化设计。实例计算并与复行法优化方法相比,该算法不仅能得到更好的优化结果,而且保持了较快的收敛速度。Adaptive genetic algorithm (GA) is recommended for optimal design of gravity dam section to overcome the defects of constant crossover probability and mutation probability in the evolution process in simple GA. The optimal results are compared with the solutions from complex method in an example, and the outcome indicates that the optimal results are better and a faster convergence velocity is obtained by GA.

关 键 词：重力坝 体型优化 自适应 遗传算法 

分 类 号：TV222.2[水利工程—水工结构工程]