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

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Veröffentlicht in:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 34455-34470
1. Verfasser:	Faúndez-Lizama, Thalía
Weitere Verfasser:	Gutiérrez-Bahamondes, Jimmy H., Gajardo-Sepúlveda, Nicolás, Mora-Meliá, Daniel
Veröffentlicht:	Nature Publishing Group
Schlagworte:	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
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