基于遗传算法的重力坝整体优化设计  

Optimal Design for Gravity Dam General Section Based on Genetic Algorithm

作　　者：张怀芝[1] 彭云枫[1] 熊堃[1] 

机构地区：[1]武汉大学水利水电学院,武汉430072

出　　处：《水利科技与经济》2007年第4期230-232,共3页Water Conservancy Science and Technology and Economy

摘　　要：针对基本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,引用自适应遗传算法,并将其运用于重力坝整体断面体型优化设计。通过实例计算并与复行法的计算结果相比,该算法能得到更好的优化结果;优化的体型可直接用于工程的初步设计。Adaptive genetic algorithm（GA） is recommended for optimal design of gravity dam general section to overcome the defects of constant crossover probability and mutation probability in the evolution process in basic GA. The optimal result s are compared with the solutions from complex method in an example, and the outcome indicates that the optimal results are better is obtained by GA. And the optimal results can directly apply to the design of the program.

关 键 词：重力坝 整体断面优化 自适应 遗传算法 

分 类 号：TV64[水利工程—水利水电工程]