基于分类遗传算法的给水管径优化设计

Water Distribution Network Optimization Using Ranking Genetic Algorithms

应用分类遗传算法优化设计给水管网,该方法有以下改进:直接以整数对离散的标准管径进行编码;对约束条件进行处理无须采用了惩罚函数;而且因借助于强大的管网水力求解器epanet,能处理大规模优化问题.最后以一经典算例验证了该方法的良好特性.

A ranking genetic algorithms (RGA) is proposed for water distribution network optimization. Several changes are introduced here: directly code the discrete standard diameters with integer; a constraint handling technique that does not require a penalty coefficient; a computer model that links RGA and the hydraulic simulation software EPANET and its library functions.In the end,a benchmark example is included that demonstrates the features of the method and shows that the algorithm performs much better than a simple genetic algorithms (SGA).