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The scarcity of water resources nowadays lays stress on researchers to develop strategies aiming at making the best benefit of the currently available resources. One of these strategies is ensuring that reliable and near-optimum designs of water distribution systems (WDSs) are achieved. Designing WDSs is a discrete combinatorial NP-hard optimization problem, and its complexity increases when more objectives are added. Among the many existing evolutionary algorithms, a new hybrid fast-convergent multi-objective particle swarm optimization (MOPSO) algorithm is developed to increase the convergence and diversity rates of the resulted non-dominated solutions in terms of network capital cost and reliability using a minimized computational budget. Several strategies are introduced to the developed algorithm, which are self-adaptive PSO parameters, regeneration-on-collision, adaptive population size, and using hypervolume quality for selecting repository members. A local search method is also coupled to both the original MOPSO algorithm and the newly developed one. Both algorithms are applied to medium and large benchmark problems. The results of the new algorithm coupled with the local search are superior to that of the original algorithm in terms of different performance metrics in the medium-sized network. In contrast, the new algorithm without the local search performed better in the large network.
Mohamed Torkomany; Hassan Hassan; Amin Shoukry; Ahmed Abdelrazek; Mohamed Elkholy. An Enhanced Multi-Objective Particle Swarm Optimization in Water Distribution Systems Design. Water 2021, 13, 1334 .
AMA StyleMohamed Torkomany, Hassan Hassan, Amin Shoukry, Ahmed Abdelrazek, Mohamed Elkholy. An Enhanced Multi-Objective Particle Swarm Optimization in Water Distribution Systems Design. Water. 2021; 13 (10):1334.
Chicago/Turabian StyleMohamed Torkomany; Hassan Hassan; Amin Shoukry; Ahmed Abdelrazek; Mohamed Elkholy. 2021. "An Enhanced Multi-Objective Particle Swarm Optimization in Water Distribution Systems Design." Water 13, no. 10: 1334.
Design of water distribution systems is commonly performed using design guidelines which often rely on designers' expertise. Determination of the required pumping power and the size and location of storage tanks, according to the network layout and the available diameters, is not a trivial task. The difficulty of optimizing such systems arises from applying non-uniform demand patterns along the one-day operation accompanied by the different constraints to satisfy the large fluctuations in pressure heads and flow velocities, the dilemma between choosing to reduce the cost of constructing and operating the network or to increase its resilience and the complex relationship between the pumping power and the size, bottom elevation and location of storage tanks. In this study, a general multi-objective optimization framework is developed to get the optimum diameters, pumping power and storage tank locations and bottom elevations to minimize the cost while maximizing the resilience using a combination of the Particle Swarm Optimization technique and EPANET software. The objective function of the optimization is obtained from combining the cost and resilience using a transformation function. The proposed framework is applied to Safi town network in Yemen and the results prove the success of performing the developed framework.
Mohamed Reyad Torkomany; Mohamed M. Yusuf; Mohamed Elkholy; Ahmed M. Abdelrazek; Hassan E. S. Fath. Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting. 2020 Advances in Science and Engineering Technology International Conferences (ASET) 2020, 1 -6.
AMA StyleMohamed Reyad Torkomany, Mohamed M. Yusuf, Mohamed Elkholy, Ahmed M. Abdelrazek, Hassan E. S. Fath. Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting. 2020 Advances in Science and Engineering Technology International Conferences (ASET). 2020; ():1-6.
Chicago/Turabian StyleMohamed Reyad Torkomany; Mohamed M. Yusuf; Mohamed Elkholy; Ahmed M. Abdelrazek; Hassan E. S. Fath. 2020. "Optimum Reliable Design of Water Distribution Systems Using Particle Swarm Optimization Considering Pumping Power and Tank Siting." 2020 Advances in Science and Engineering Technology International Conferences (ASET) , no. : 1-6.