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Non-dominated Sorting Genetic Algorithms- II Based on Multi-objective Optimization Model in the Water Distribution System

机译:基于水分配系统多目标优化模型的非主导分类遗传算法 - II

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In order to make the water distribution network design more scientific and reasonable, the economy and reliability analysis should be considered. Firstly, the cost of pipeline construction is used as one objective. The sum of node surplus head and the node surplus head variance are used as another two objective functions. A multi-objective optimization model in water distribution system is established using a joint. MATLAB and EPANET platform, along with a non-dominated sorting genetic algorithm (NSGA- II) are applied to solve the optimization problem. Finally, a water supply network is employed to demonstrate to the application of this method. It is concluded that the multi-objective optimization model based on the non-dominated sorting genetic algorithm- II performed reasonably and effectively to solve optimization problem for water distribution system.
机译:为了使水分配网络设计更加科学合理,应考虑经济性和可靠性分析。首先,管道结构的成本用作一个目标。节点剩余头和节点剩余头部方差的总和用作另外两个目标函数。使用关节建立水分配系统的多目标优化模型。 MATLAB和EPANET平台,以及非主导的分类遗传算法(NSGA-II)用于解决优化问题。最后,采用供水网络来证明该方法的应用。结论是,基于非主导分类遗传算法的多目标优化模型合理地进行,求解水分配系统的优化问题。

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