Feasibility-guided evolutionary optimization of pump station design and operation in water networks

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Publié dans:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 34455-34470
Auteur principal:	Faúndez-Lizama, Thalía
Autres auteurs:	Gutiérrez-Bahamondes, Jimmy H., Gajardo-Sepúlveda, Nicolás, Mora-Meliá, Daniel
Publié:	Nature Publishing Group
Sujets:	Mathematical models Algorithms Optimization techniques Drainage Civil engineering Feasibility Machine learning Computer applications Energy consumption Water distribution Learning algorithms Case studies Water quality Scheduling Simulation Infrastructure Costs Genetic algorithms Objective function Water scarcity Methods Pumping stations Hydraulics Economic
Accès en ligne:	Citation/Abstract Full Text Full Text - PDF
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