基于实数编码的加速遗传算法在推求流量水深关系中的应用  

RAGA applied to compute relation between discharge and water depth

作　　者：付强[1] 李晓秋[2] 肖建民[2] 

机构地区：[1]四川大学,四川省成都市610065 [2]黑龙江省水利水电勘测设计研究院,黑龙江省哈尔滨150080

出　　处：《东北水利水电》2001年第10期1-4,共4页Water Resources & Hydropower of Northeast China

摘　　要：本文在标准遗传算法(SGA)基础上,提出一种基于实数编码的加速遗传算法(RAGA),解决了SGA算法及华罗庚优选法的循环次数过多、耗时长以及过早收敛、形成局部最优等问题。可在水利工程设计中多维、高度非线性等参数优化问题中得到应用。Based on standard genetic algorithm,the paper puts forward a new method o f acceler-ating genetic algorithm based the re al number coding(RAGA).The method of RAGA can solve some problems in SGA method and Hualo geng optimum method,such as many cycles,wasting more times,premature convergence and partial optimum.The method of RAGA can be applied to solve milti -dimensional and nonlinear parameter optimum problems in the design of water project.

关 键 词：实数编码 加速遗传算法 水深 流量 水利工程 

分 类 号：TV131.3[水利工程—水力学及河流动力学]