Matlab toolbox supporting a fully-automated design of basin-customized drought indexes based on the Wrapper for Quasi-Equally Informative Subset Selection (W-QEISS) applied to the case study of the Jucar river basin (Spain), a drought prone, highly regulated Mediterranean water system, where an advanced drought management plan relying on the formulation of an ad-hoc State Index is used for triggering drought restraining measures.
Matlab toolbox for designing the optimal daily operations of multipurpose water reservoir systems through several state-of-the-art methods. Version 1.0 of the toolbox includes Deterministic and Stochastic Dynamic Programming, Implicit Stochastic Optimization, Sampling Stochastic Dynamic Programming, Fitted Q-Iteration, Evolutionary Multi-Objective Direct Policy Search, Model Predictive Control.
MatLab implementation of the IIS algorithm relying on Extremely Randomized Trees, woking both in regression and classification mode. The same algorithm with a C-library implementing the Extremely Randomized Trees is available HERE. This algorithm is described in Galelli and Castelletti (2013).
