Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview

The application of a genetic algorithm inspired multi-objectives optimization algorithms, known as the Non-dominated Sorting Genetic Algorithm (NSGAii) in solving optimization problems related to Water Distribution System (WDS) is critically reviewed. The list of variations of NSGAii used by other r...

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發表在:Ain Shams Engineering Journal
主要作者: 2-s2.0-85140822501
格式: Article
語言:English
出版: Ain Shams University 2023
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140822501&doi=10.1016%2fj.asej.2022.101932&partnerID=40&md5=8cb7806cf4f5afb41bf42511501b3d44
id Mohamad Shirajuddin T.; Muhammad N.S.; Abdullah J.
spelling Mohamad Shirajuddin T.; Muhammad N.S.; Abdullah J.
2-s2.0-85140822501
Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
2023
Ain Shams Engineering Journal
14
4
10.1016/j.asej.2022.101932
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140822501&doi=10.1016%2fj.asej.2022.101932&partnerID=40&md5=8cb7806cf4f5afb41bf42511501b3d44
The application of a genetic algorithm inspired multi-objectives optimization algorithms, known as the Non-dominated Sorting Genetic Algorithm (NSGAii) in solving optimization problems related to Water Distribution System (WDS) is critically reviewed. The list of variations of NSGAii used by other researchers in solving WDS are assessed, including an improved version of NSGAii and its combination with other algorithms in solving the problems. The optimization problems include WDS optimal design, pipe rehabilitation strategies, water quality, leakages and pump operation. The existing algorithm has been improved to solve multi-objectives and yet researchers are keen in using the NSGAii algorithm. Improvised and revolutionary algorithms, such as RNSGAii, Ɛ-NSGAii and NSGAiii, still received less attention even though these algorithms have been introduced since 2005 and model capabilities to solve more complex problem is proved. The application of these algorithms should be seriously considered due to increasing aging of pipe in the future. © 2022 THE AUTHORS
Ain Shams University
20904479
English
Article
All Open Access; Gold Open Access
author 2-s2.0-85140822501
spellingShingle 2-s2.0-85140822501
Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
author_facet 2-s2.0-85140822501
author_sort 2-s2.0-85140822501
title Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
title_short Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
title_full Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
title_fullStr Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
title_full_unstemmed Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
title_sort Optimization problems in water distribution systems using Non-dominated Sorting Genetic Algorithm II: An overview
publishDate 2023
container_title Ain Shams Engineering Journal
container_volume 14
container_issue 4
doi_str_mv 10.1016/j.asej.2022.101932
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140822501&doi=10.1016%2fj.asej.2022.101932&partnerID=40&md5=8cb7806cf4f5afb41bf42511501b3d44
description The application of a genetic algorithm inspired multi-objectives optimization algorithms, known as the Non-dominated Sorting Genetic Algorithm (NSGAii) in solving optimization problems related to Water Distribution System (WDS) is critically reviewed. The list of variations of NSGAii used by other researchers in solving WDS are assessed, including an improved version of NSGAii and its combination with other algorithms in solving the problems. The optimization problems include WDS optimal design, pipe rehabilitation strategies, water quality, leakages and pump operation. The existing algorithm has been improved to solve multi-objectives and yet researchers are keen in using the NSGAii algorithm. Improvised and revolutionary algorithms, such as RNSGAii, Ɛ-NSGAii and NSGAiii, still received less attention even though these algorithms have been introduced since 2005 and model capabilities to solve more complex problem is proved. The application of these algorithms should be seriously considered due to increasing aging of pipe in the future. © 2022 THE AUTHORS
publisher Ain Shams University
issn 20904479
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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