遗传算法在推求流量～水深关系中的应用

Applying RGA to calculating the relation between discharge and water depth

本文在标准遗传算法 (SGA)基础上 ,提出一种基于实数编码的遗传算法 (RGA) ,解决了标准遗传算法(SGA)算法及文献 [1]中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。并渴望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 author put forward a new method named real coding based genetic algorithm(RGA). The method of RGA can solve some problems in Hualuogeng optimum method. Such as prematurely convergence, partial optimum, and wasting more and more time druing calculating. The author eager to applying the method of RGA to handle more parameters optimum problems in the design of water conservancy project.