2018
DOI: 10.1061/(asce)wr.1943-5452.0000859
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Combining Model Predictive Control with a Reduced Genetic Algorithm for Real-Time Flood Control

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Cited by 30 publications
(35 citation statements)
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“…It, therefore, limits the applicability of the coupled model for studies that demand long‐term simulations or multiple runs. There is thus a need for a conceptual river model that provides similar accuracy as a fully hydrodynamic one but with shorter computational times (Meert et al ., 2016, ; Vermuyten et al ., ). Incorporating such river model would allow to broaden the range of applications of the coupled model.…”
Section: Resultsmentioning
confidence: 97%
“…It, therefore, limits the applicability of the coupled model for studies that demand long‐term simulations or multiple runs. There is thus a need for a conceptual river model that provides similar accuracy as a fully hydrodynamic one but with shorter computational times (Meert et al ., 2016, ; Vermuyten et al ., ). Incorporating such river model would allow to broaden the range of applications of the coupled model.…”
Section: Resultsmentioning
confidence: 97%
“…Major upscaling of flood‐attenuation features (brown area in Figure ) has a considerable cost‐effective impact. Unmitigated FEV parts can be covered by other mitigation measures: by building higher flood‐defence walls than currently in place or further increasing the reservoir volumes via dynamic control (Breckpot, ; Breckpot et al, ; Vermuyten et al, ). However, optimisation of the draw‐down of reservoirs would involve cost functions with the opposite demands of drinkwater maximisation, volume minimisation, dam safety, and controlled water release with minimal flood, erosion, and environmental damage.…”
Section: Main Results: Flood‐mitigation Assessmentsmentioning
confidence: 99%
“…Both static and dynamic draw-down of reservoirs requires more investigation on how to optimize the conflicting demands on drink-water capacity, flood buffering and mitigation, reservoir safety, scour and ecological impact due to relative rapid draw-downs needed prior to probabilistic forecasts of extreme rainfall. Modern optimization strategies for river-flood mitigation such as in Breckpot (2013), Breckpot et al (2013) and Vermuyten et al (2018) can form a starting point for such investigations.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…This requires further detailed modelling and pilot studies, cf. Breckpot (2013) and Vermuyten et al (2018).…”
Section: Flood Storage In Reservoirsmentioning
confidence: 99%