Balancing exploration, uncertainty and computational demands in many objective reservoir optimization

•Hydro-climatic uncertainties must be considered in reservoir operations.•Quantifying uncertain multi-sector tradeoffs poses computational barriers.•Monte Carlo sampling impacts mathematical and computational difficulty.•Parallel auto-adaptive co-evolutionary search helps overcome challenges.•Result...

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Vydané v:	Advances in water resources Ročník 109; s. 196 - 210
Hlavní autori:	Zatarain Salazar, Jazmin, Reed, Patrick M., Quinn, Julianne D., Giuliani, Matteo, Castelletti, Andrea
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 01.11.2017 Elsevier Science Ltd
Predmet:	Adaptive algorithms algorithms Barriers Computation Computer applications Computer simulation Diagnostic systems Direct policy search Evaporation Evaporation rate Evolutionary algorithms Exploration Frameworks Hydroelectric power issues and policy Mathematical models Multi-objective evolutionary optimization Multi-purpose reservoir control Multiple objective analysis Objective function Optimization Parallel processing Parallel strategies Policies Problem solving recreation Reservoir operation Reservoirs River basins Rivers Searching Software Stream discharge Stream flow Tradeoffs Uncertainty water power Water resources Water resources management Water supply watersheds Uncertainty Multi-purpose reservoir control Multi-objective evolutionary optimization Direct policy search Parallel strategies
ISSN:	0309-1708, 1872-9657
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