Bi-objective design-for-control for improving the pressure management and resilience of water distribution networks

•Optimal water network design and control combines continuous and integer variables.•Pressure-induced leakage and network resilience are conflicting objectives.•Complementary advantages of evolutionary algorithms and gradient-based methods.•Novel hybrid method efficiently solves bi-objective MINLPs...

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Veröffentlicht in:	Water research (Oxford) Jg. 222; S. 118914
Hauptverfasser:	Ulusoy, Aly-Joy, Mahmoud, Herman A., Pecci, Filippo, Keedwell, Edward C., Stoianov, Ivan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.08.2022
Schlagworte:	Bi-objective optimization Design-for-control Evolutionary algorithms Mixed-integer non-linear programming Pressure management Resilience water water distribution Bi-objective optimization Design-for-control Evolutionary algorithms Pressure management Mixed-integer non-linear programming Resilience
ISSN:	0043-1354, 1879-2448, 1879-2448
Online-Zugang:	Volltext
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