Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems
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Beschrijving
A framework for robust optimisation of multiple objectives and multiple sources of uncertainty is proposed, which integrates widely accepted robustness metrics, is tested in engineering problems related to the water sector, in particular the design of urban drainage and water distribution systems.
Oscar Osvaldo Marquez Calvo has a Bachelor Degree (1990) and a Master Degree in Computer Sciences (1992). He also has a Master in Manufacturing Systems (1995). Since then, he worked in the field of Information Technology in technical operations and application development as well. In 2011, he started working in the area of Hydroinformatics. And he finished in 2020 his PhD in a joined program between IHE Delft Institute for Water Education (IHE Delft) and Delft University of Technology (TU Delft), Netherlands. His areas of interest are robust optimization, computer modelling and artificial intelligence.