A multiobjective response surface approach for improved water quality planning in lakes and reservoirs

By A. Castelletti, Francesca Pianosi, R. Soncini-Sessa, J. Antenucci. 2010

53 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “Castelletti et al. (2010) used a multi-objective adaptive recursive meta-modeling optimization approach to improving water quality planning in lakes and reservoirs.”
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, background): “Similar ideas have been developed in Castelletti et al. (2010b, 2011) and “Problem Structuring Methods” can also help to implement traditional operations research approaches with diverse sets of stakeholders (Rosenhead, 1996).”
Review of surrogate modeling in water resources (2012, methodology): “Five studies utilize formal optimization algorithms in Step 3, but Castelletti et al. [2010] conduct a complete enumeration at this step since their combinatorial optimization problem has only three decision variables. Johnson and Rogers [2000] point out that the quality of solutions obtained throug”