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Title

Optimization of water distribution networks using developed binary genetic algorithm and hydraulic model software

Year: 1399
COI: JR_ARWW-7-1_004
Language: EnglishView: 134
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Authors

Setareh Heydari - Department of Water Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran.
Jafar Mamizadeh - Department of Water Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran.
Javad Sarvarian - Department of Water Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran.
Goodarz Ahmadi - Department of Mechanical and Aeronautical Engineering, Faculty of Engineering, Clarkson University, Potsdam, USA.

Abstract:

The optimal design of urban water distribution networks is a significant issue that has been of critical interest in the water industry for many years. The optimal design of the distribution network aims to find the best solution for transferring water from the reservoir to consumers at the lowest cost. In this study, optimization of the water distribution network (ZONE 1 of Ilam city, Iran) was performed using the fast messy genetic algorithms (FMGA) tool in the hydraulic model for three different pipe networks. Also, these networks were optimized by using a combination of EPANET and an in-house developed binary genetic algorithm in MATLAB. The costs of the optimized hydraulic networks of polyethylene and polypropylene pipes were lower, respectively, by 20.56 % and 52.94 % compared to the consulting company's original designs, while for the glass fiber reinforced plastic pipe (GRP) pipe network the cost increased by 12.61 %. Also, the results of a developed algorithm for polyethylene pipe decreased by 22.13 %.

Keywords:

Paper COI Code

This Paper COI Code is JR_ARWW-7-1_004. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1138268/

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Heydari, Setareh and Mamizadeh, Jafar and Sarvarian, Javad and Ahmadi, Goodarz,1399,Optimization of water distribution networks using developed binary genetic algorithm and hydraulic model software,https://civilica.com/doc/1138268

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Type of center: دانشگاه دولتی
Paper count: 4,701
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