Application of metaheuristic algorithms in optimal design of sewer collection systems

Geranmehr, M; Nikoo, MR; Al-Rawas, G; Al-Jabri, K; Gandomi, AH

Application of metaheuristic algorithms in optimal design of sewer collection systems

Geranmehr, M Nikoo, MR Al-Rawas, G Al-Jabri, K Gandomi, AH

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Comprehensive Metaheuristics: Algorithms and Applications, 2023, pp. 153-161
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Geranmehr, M
dc.contributor.author	Nikoo, MR
dc.contributor.author	Al-Rawas, G
dc.contributor.author	Al-Jabri, K
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-11-15T22:45:45Z
dc.date.available	2023-11-15T22:45:45Z
dc.date.issued	2023-01-01
dc.identifier.citation	Comprehensive Metaheuristics: Algorithms and Applications, 2023, pp. 153-161
dc.identifier.isbn	978-0-323-91781-0
dc.identifier.uri	http://hdl.handle.net/10453/173426
dc.description.abstract	Sewer collection systems are essential but the most expensive infrastructures in every modern city. Hence, many researchers and engineers have continuously investigated the optimal design of these systems. The decision variables of these networks include the layout, pipe diameters, and pipe slopes, each of which has its individual complexities. As an optimization problem, the main objective function is to minimize the system’s cost, which is highly dependent on the pipes’ diameters and cover depth. However, hydraulic equations and design constraints, such as minimum and maximum allowable values for velocity, relative flow depth, Froude number, slope, and cover, could increase the complexity of the optimization problem. Metaheuristic algorithms have proven to be some of the best tools for solving the optimal design problem of sewer collection systems. Yet, the available metaheuristic algorithms must be modified to fit each system perfectly and require many constraints to yield acceptable results. This chapter reviews the use of metaheuristic algorithms for the optimal design of sewer collection systems.
dc.format.extent	22
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Comprehensive Metaheuristics: Algorithms and Applications
dc.relation.isbasedon	10.1016/B978-0-323-91781-0.00008-9
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Application of metaheuristic algorithms in optimal design of sewer collection systems
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-11-15T22:45:44Z
pubs.place-of-publication	UK
pubs.publication-status	Published
dc.location	UK

Abstract:

Sewer collection systems are essential but the most expensive infrastructures in every modern city. Hence, many researchers and engineers have continuously investigated the optimal design of these systems. The decision variables of these networks include the layout, pipe diameters, and pipe slopes, each of which has its individual complexities. As an optimization problem, the main objective function is to minimize the system’s cost, which is highly dependent on the pipes’ diameters and cover depth. However, hydraulic equations and design constraints, such as minimum and maximum allowable values for velocity, relative flow depth, Froude number, slope, and cover, could increase the complexity of the optimization problem. Metaheuristic algorithms have proven to be some of the best tools for solving the optimal design problem of sewer collection systems. Yet, the available metaheuristic algorithms must be modified to fit each system perfectly and require many constraints to yield acceptable results. This chapter reviews the use of metaheuristic algorithms for the optimal design of sewer collection systems.

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http://hdl.handle.net/10453/173426