Keywords
multi-objective, combinatorial, uncertainty, optimization, environmental modelling
Start Date
1-7-2006 12:00 AM
Abstract
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.
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.
