Khalifeh Saeid, Akbarifard Saeid, Khalifeh Vahid, Zallaghi Ebrahim
Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Hydrology and Water Resources, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
MethodsX. 2020 Jun 4;7:100948. doi: 10.1016/j.mex.2020.100948. eCollection 2020.
In this article applies the Harris Hawks Optimization Algorithm for optimization of the water distribution network of the Homashahr located in Iran for a period of one month (from 30 September 2018 to 30 October 2019). The utilized time-series data included water demand, reservoir storage. In this article, a model based on the Harris Hawks Optimization Algorithm (HHO) was developed for the optimization of the water distribution network. The analysis showed that the best solutions achieved by the Harris Hawks Optimization Algorithm (HHO) were 35,508 $. The results revealed that the HHO algorithm was well in the optimal design of water supply networks problem. At the end, about 12% of the optimization was done by this algorithm.•In this article applied the Harris Hawks Optimization Algorithm for optimization of the water distribution network of the Homashahr located in Iran.•The method presented in this article can be useful for managers of water and wastewater companies, water resource facilities and water distribution system managing director for optimal network design to reduce costs.•The present algorithm performs better than the other algorithms in the discussion of the optimization of water distribution networks.
在本文中，应用哈里斯鹰优化算法对位于伊朗的霍马沙赫尔的配水管网进行了为期一个月（从2018年9月30日至2019年10月30日）的优化。所使用的时间序列数据包括用水需求、水库蓄水量。在本文中，开发了一种基于哈里斯鹰优化算法（HHO）的模型来优化配水管网。分析表明，哈里斯鹰优化算法（HHO）获得的最佳解决方案成本为35,508美元。结果表明，HHO算法在供水网络问题的优化设计中表现良好。最后，该算法完成了约12%的优化工作。
•在本文中，应用哈里斯鹰优化算法对位于伊朗的霍马沙赫尔的配水管网进行了优化。
•本文提出的方法对于供水和污水处理公司的管理人员、水资源设施以及配水系统总经理进行优化网络设计以降低成本可能是有用的。
•在配水管网优化的讨论中，当前算法比其他算法表现更好。
