Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city)

• Published in: MethodsX Vol. 7; p. 100948
• Main Authors: Khalifeh, Saeid, Akbarifard, Saeid, Khalifeh, Vahid, Zallaghi, Ebrahim
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2020; Elsevier
• Subjects: algorithms; case studies; Engineering; Harris Hawks optimization algorithm; hawks; Homashahr city; Iran; Optimization; time series analysis; wastewater; water distribution; Water distribution network; water supply; Iran; Homashahr city; Harris Hawks optimization algorithm; Optimization; Harris Hawks Optimization Algorithm (HHO); Water distribution network
• ISSN: 2215-0161; 2215-0161
• DOI: 10.1016/j.mex.2020.100948

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. [Display omitted]