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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Bibliographic Details
Published in:Advances in water resources 2017-11, Vol.109, p.196-210
Main Authors: Zatarain Salazar, Jazmin, Reed, Patrick M., Quinn, Julianne D., Giuliani, Matteo, Castelletti, Andrea
Format: Article
Language:English
Subjects:
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
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