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Urban Water Journal Volume 16, 2019 - Issue 3
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Research Articles

Uncertainty analysis of water distribution networks using type-2 fuzzy sets and parallel genetic algorithm

Mohammadali GeranmehrDepartment of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
,
Keyvan AsghariDepartment of Civil Engineering, Isfahan University of Technology, Isfahan, IranCorrespondence[email protected]
&
Mohammad R. ChamaniDepartment of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
Pages 193-204 | Received 19 Jul 2018, Accepted 18 Jul 2019, Published online: 12 Aug 2019

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Seyed Mehran Jafari, Mohammad Reza Nikoo, Omid Bozorg-Haddad, Nasrin Alamdari, Raziyeh Farmani & Amir H. Gandomi. (2023) A robust clustering-based multi-objective model for optimal instruction of pipes replacement in urban WDN based on machine learning approaches. Urban Water Journal 20:6, pages 689-706.
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Mehdi Dini, Amin Mohammadikaleibar, Saeed Hashemi & Vahid Nourani. (2022) Stochastic long-term reliability of water distribution networks using Monte Carlo simulation. Urban Water Journal 19:2, pages 151-160.
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Articles from other publishers (4)

Swati Sirsant, Mohamed A. Hamouda, Mostafa F. Shaaban & Mayyada Salem Al Bardan. (2022) A Chaotic Sobol Sequence-based multi-objective evolutionary algorithm for optimal design and expansion of water networks. Sustainable Cities and Society 87, pages 104215.
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Mostafa Zaman, Maher Al Islam, Ashraf Tantawy & Sherif Abdelwahed. (2022) An Uncertainty Based Predictive Analysis of Smart Water Distribution System Using Bayesian LSTM Approach. An Uncertainty Based Predictive Analysis of Smart Water Distribution System Using Bayesian LSTM Approach.
Er Li & Xiangying Zeng. (2021) Evaluating the performance of fine bubble diffused aeration systems in cylindrical aeration tanks by fuzzy c-means algorithm. Water Science and Technology 84:2, pages 404-419.
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R. Salcedo-Díaz, R. Ruiz-Femenia, J.A. Caballero & M.A.S.S. Ravagnani. 2020. 30th European Symposium on Computer Aided Process Engineering. 30th European Symposium on Computer Aided Process Engineering 1183 1188 .

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