Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)

To design an urban water network in addition to minimizing the cost, improving the water pressure is very important. Then in this paper a bi-objective optimization model for the new city of Sahand in Northwestern Iran is developed.  Due to its non-linearity and the huge number of variables, the gene...

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Main Authors: Ali Nikjoofar, Mahdi Zarghami, Mohammad Taghi Aalami
Format: Article
Language:English
Published: Water and Wastewater Consulting Engineers Research Development 2012-12-01
Series:آب و فاضلاب
Subjects:
Online Access:http://www.wwjournal.ir/article_2473_3221e0110f032db7cd307089a7a3df2b.pdf
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author Ali Nikjoofar
Mahdi Zarghami
Mohammad Taghi Aalami
author_facet Ali Nikjoofar
Mahdi Zarghami
Mohammad Taghi Aalami
author_sort Ali Nikjoofar
collection DOAJ
description To design an urban water network in addition to minimizing the cost, improving the water pressure is very important. Then in this paper a bi-objective optimization model for the new city of Sahand in Northwestern Iran is developed.  Due to its non-linearity and the huge number of variables, the genetic algorithm has been utilized to solve it. Several Pareto solutions have been obtained and then based on the game theory approach (the area monotonic solution), the most efficient point was provided. The solution is simulated by the WaterGems software and the elements of the network are designed. This optimum solution shows a decrease of 13% in total cost in addition to the improved water pressure.
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spelling doaj.art-3c9a165f382d42ac89ed93a2101daf3a2022-12-21T22:27:02ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052012-12-012341281332473Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)Ali Nikjoofar0Mahdi Zarghami1Mohammad Taghi Aalami2Grad. M.Sc. Student of Water Eng., Faculty of Civil Eng., University of TabrizAssoc. Prof. of Water Eng., Faculty of Civil Eng., University of TabrizAssoc. Prof. of Water Eng., Faculty of Civil Eng., University of TabrizTo design an urban water network in addition to minimizing the cost, improving the water pressure is very important. Then in this paper a bi-objective optimization model for the new city of Sahand in Northwestern Iran is developed.  Due to its non-linearity and the huge number of variables, the genetic algorithm has been utilized to solve it. Several Pareto solutions have been obtained and then based on the game theory approach (the area monotonic solution), the most efficient point was provided. The solution is simulated by the WaterGems software and the elements of the network are designed. This optimum solution shows a decrease of 13% in total cost in addition to the improved water pressure.http://www.wwjournal.ir/article_2473_3221e0110f032db7cd307089a7a3df2b.pdfUrban Water Distribution NetworksMullti-Objective OptimizationGenetic algorithmPareto FrontierGame theory
spellingShingle Ali Nikjoofar
Mahdi Zarghami
Mohammad Taghi Aalami
Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
آب و فاضلاب
Urban Water Distribution Networks
Mullti-Objective Optimization
Genetic algorithm
Pareto Frontier
Game theory
title Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
title_full Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
title_fullStr Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
title_full_unstemmed Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
title_short Bi-objective Optimization of the Water Distribution Networks (Case Study: Sahand City)
title_sort bi objective optimization of the water distribution networks case study sahand city
topic Urban Water Distribution Networks
Mullti-Objective Optimization
Genetic algorithm
Pareto Frontier
Game theory
url http://www.wwjournal.ir/article_2473_3221e0110f032db7cd307089a7a3df2b.pdf
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