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).
C++ model implementation, Java interface for calibration with MOEA Framework, model tutorial. This model was used in Giuliani and Castelletti (2016).
Matlab toolbox comprising 8 formulations of SPCA using Alternating Maximization. This toolbox was used in Galelli et al. (2015).