Optimum layout design of sewer networks by hybrid genetic algorithm

Hassan, Waqed H.; Attea, Zahra H.; Mohammed, Safaa S.

doi:10.1080/23249676.2020.1761897

Cited by 39 publications

(18 citation statements)

References 18 publications

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“…The layout of sanitary sewage network resembles a tree, thus the method called Tree Growing Algorithm is applied to build a tree layout using the base graph which describes the network named a feasible layout. TGA is applied to successfully solve the sanitary sewer network layout and size optimization issue with pipe diameters taken as decision variables [56,57].…”

Section: Optimization Of Sanitary Sewagementioning

confidence: 99%

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

Łazuka¹,

Futa²,

Jastrzębska³

et al. 2022

Adv. Sci. Technol. Res. J.

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The application of methods using graphs to model a variety of engineering issues has been known for several decades, but the application of graph algorithms to model the urban water management issues is a completely new approach. The article reviews the scientific literature on integrated urban water management systems in terms of the use of graph theory algorithms in this topic. Such a review has not been done before and constitutes a completely novel study. Some of the algorithms presented are directly derived from graph theory, while others were developed from other sciences, including environmental engineering or genetics, to solve specific engineering problems. The paper presents a general scheme and a brief description of the most important components of an integrated urban water management system. The necessary concepts of graphs were defined, the origin and the principle of graph algorithms used in modeling water management issues (Loop-By-Loop Cutting Algorithm, Hanging Gardens Algorithm, Tree Growth Algorithm, Dijkstra's Algorithm, Genetic Algorithm, and Bayesian Networks Algorithm) were described. Their use in modeling the issues in stormwater, sanitary sewage and water distribution system was described. A complete list of scientific literature in this field was provided.

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Section: Optimization Of Sanitary Sewagementioning

confidence: 99%

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

Łazuka¹,

Futa²,

Jastrzębska³

et al. 2022

Adv. Sci. Technol. Res. J.

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“…GAs are widely utilized and present their efficiency to solve many optimization problems in many fields, specifically in water. We can cite the works of Tayfur et al (2009) for predicting peak flows, Li et al (2020) for water resource management, Bostan et al (2019) for the optimal design of shock dampers, Montes et al (2020) for predicting bedload sediment transport in sewer networks, and Hassan et al (2020) for the optimal design of sewer networks. Therefore, GAs are chosen to optimize the sewer system operating as part of this work.…”

Section: Optimization Of the Operational Systemmentioning

confidence: 99%

Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems

Ghazouli

Khatabi

Soulhi³

et al. 2021

Water Science and Technology

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Urbanization and an increase in precipitation intensities due to climate change, in addition to limited urban drainage systems (UDS) capacity, are the main causes of combined sewer overflows (CSOs) that cause serious water pollution problems in many cities around the world. Model predictive control (MPC) systems offer a new approach to mitigate the impact of CSOs by generating optimal temporally and spatially varied dynamic control strategies of sewer system actuators. This paper presents a novel MPC based on neural networks for predicting flows, a stormwater management model (SWMM) for flow conveyance, and a genetic algorithm for optimizing the operation of sewer systems and defining the best control strategies. The proposed model was tested on the sewer system of the city of Casablanca in Morocco. The results have shown the efficiency of the developed MPC to reduce CSOs while considering short optimization time thanks to parallel computing.

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“…A lot of studies in the literature focus on the sewer pipeline network inside a residential area and do not consider regional design including treatment plants. As stated in [16], these problems are solved using meta-heuristic methods, such as genetic algorithms (GA) [17][18][19][20][21], simulated annealing (SA) [22], particle swarm optimization (PSO) [23,24] and tabu search (TS) [25]. Cellular automata (CA) [26][27][28] and ant colony (AC) [29] optimization techniques are applied in such studies, as well.…”

Section: Introductionmentioning

confidence: 99%

“…1 depicts the piecewise linearization of a minimization of a concave function, like the terms of Fig. 1 Piecewise linearization of a concave function to be minimized with (blue line) and without (green line) restricted basis entry constraints the objective function (21). If no restricted basis entry constraints are used, the solution would be but this is incorrect because w1 and w4 are not adjacent and therefore f (w 1 , w 4 ) is not a good approximation of f (x) .…”

Section: Introductionmentioning

confidence: 99%

A Linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design

2022

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Waste water treatment (WWT) is a very important issue affecting both the environment and public health in the twenty-first century. The increasing earth’s population together with the growing urbanism leads to the need of redesigning effective WWT. In this paper, the problem of optimal Waste Water Treatment Network Design (WWTND) is addressed. To this end, various parameters affecting the problem have been taken into consideration, such as the distance between the residential areas and the treatment plants, estimations for future population of towns and costs of expanding existing network or building a new one. The last parameter of cost has a lot of components (pipeline cost, treatment plant cost, etc.), all of which are non-linear functions depending on the amount of waste water produced and treated within the network. The authors have developed a mathematical model for the solution of WWTND problem and have applied piecewise linearization in order to deal with the non-linear terms. The developed model has been implemented on an area in Luxemburg, for which data were collected. The results prove the model’s validity and usefulness, while its solution is computationally affordable.

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Optimum layout design of sewer networks by hybrid genetic algorithm

Cited by 39 publications

References 18 publications

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems

A Linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design

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