An Efficient Algorithmic Framework for Environmental Modeling

Environmental systems often involve nonlinear models, continuous as well discrete decisions, and multiple objectives. Uncertainties are inherent in these models increasing the complexity of decision making further. This paper presents an efficient algorithmic framework for environmental decision making for large scale systems involving multiple objectives in the face of uncertainties.