1. Adelaide Research & Scholarship

Search


Current filters:

Start a new search
Add filters:

Use filters to refine the search results.

 | 
Results 21-30 of 68 (Search time: 0.005 seconds).
Item hits:
PreviewIssue DateTitleAuthor(s)
2019Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration stormsDiMatteo, M.; Lang, R.; Maier, H.; Thyer, M.A.; Simpson, A.; Dandy, G.
2014Including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for urban water supply systems incorporating GHG emissionsPaton, F.; Maier, H.; Dandy, G.
2014An adaptive ant colony optimization framework for scheduling environmental flow management alternatives under varied environmental water availability conditionsSzemis, J.; Maier, H.; Dandy, G.
2017Ecosystem service impacts of urban water supply and demand managementKandulu, J.; Hatton MacDonald, D.; Dandy, G.; Marchi, A.
2014Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directionsMaier, H.; Kapelan, Z.; Kasprzyk, J.; Kollat, J.; Matott, L.; Cunha, M.; Dandy, G.; Gibbs, M.; Keedwell, E.; Marchi, A.; Ostfeld, A.; Savic, D.; Solomatine, D.; Vrugt, J.; Zecchin, A.; Minsker, B.; Barbour, E.; Kuczera, G.; Pasha, F.; Castelletti, A.; et al.
2014Multiobjective optimization of cluster-scale urban water systems investigating alternative water sources and level of decentralizationNewman, J.; Dandy, G.; Maier, H.
2014Optimization of water distribution systems using online retrained metamodelsBi, W.; Dandy, G.
2016Integrated approach for optimizing the design of aquifer storage and recovery stormwater harvesting schemes accounting for externalities and climate changeMarchi, A.; Dandy, G.; Maier, H.
2016Framework for computationally efficient optimal crop and water allocation using ant colony optimizationNguyen, D.; Maier, H.; Dandy, G.; Ascough, J.
2013A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networksWu, W.; May, R.; Maier, H.; Dandy, G.

Discover