A general framework for Dynamic Emulation Modelling in environmental problems

By A. Castelletti, Stefano Galelli, Marco Ratto, R. Soncini-Sessa, Peter C. Young. 2012

159 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Statistical and Nonlinear Physics

How researchers see this paper

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

In Information Systems and Management

1. Holger R. Maier
2. Graeme C. Dandy

In Management Science and Operations Research

1. Patrick M. Reed
2. Jasper A. Vrugt
3. Wei Gong
4. Chen Wang
5. Qingyun Duan
6. Aaron C. Zecchin
7. Zhenhua Di
8. Zoran Kapelan

In Statistical and Nonlinear Physics

1. Holger R. Maier
2. Graeme C. Dandy
3. Jasper A. Vrugt
4. Wei Gong
5. Avi Ostfeld
6. Kwok-Wing Chau
7. C. Wu

Citations in the corpus

• An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, background): “This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).”
• An overview of methods to evaluate uncertainty of deterministic models in decision support (2015, unknown): “Generally speaking, an emulator is a low-order approximation of the more complex model (Castelletti et al., 2012).”
• Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014, methodology): “For example, these are at the core of selectionbased dynamic emulation proposed by Castelletti et al. (2012b).”