免疫遗传算法在洋河二灌区渠道优化设计中的应用

Application of immune genetic algorithm to optimum design of second irrigation area of Yanghe River

在工程设计系统优化问题求解过程中,传统经验试算法计算量大、重复工作多。该文将免疫遗传算法(IGA)应用于河北省怀来县洋河二灌区渠道改造工程中,选取灌区二干渠作为典型渠道,对其梯形横断面的底宽及设计水深等参数进行了优化设计。免疫搜索结果表明,IGA计算量小,精度高,结果丰富,能有效地解决渠道断面设计中的优化问题,具有相当的应用价值。

Actually, any engineering designs can be summed up for systematic optimizations. In real process, the traditional algorithm is always obtained by experience and needs massive computations and repetition. This paper attempts to apply the Immune Genetic Algorithm（IGA） to the transformation of the second irrigation channel of Yanghe River in Huailai, Hebei Province. Taking the second main channel in the irrigation area as the typical channel, the trapezoidal section parameters such as bottom width, designed stage, and so on were optimized. The IGA searching results show that IGA has less calculation, higher precision, more outcomes; solves the optimization problems more effectively and has higher application value.