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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書目詳細資料
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
實物特徵
總結: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
ISSN:20904479
DOI:10.1016/j.asej.2022.101932