基于遗传算法的渠道断面最优设计

常规的渠道设计方法，步骤简单，需要进行反复试算，且精度不理想。本文提出以遗传算法为手段，通过构造拉格朗日函数把各约束联系起来，选择合适编码、算子、及有关参数，将实际问题转化为遗传算法能够有效解决的模型。利用实例说明该方法实用，有较强的可操作性。

Optimal Design of Canal Sections Based on Genetic Algorithms

In the conventional design of canal, the step is very simple, but it needs to repeat the process of try and error for many times, and the precision of results is always low. In this study, the Genetic Algorithms is adopted to solve the problem of design through combination of all constraints in Lagrange Function. In order to transform the actual problem into the model, which can be solved by Genetic Algorithms, the appropriate codes, arithmetic operators, and related parameters are selected before modeling. An example is studied to validate the model, and the results indicate that the method is practical and effective.