Sustainability Analysis and Environmental Decision-Making Using Simulation Optimization and Computational Analytics

Effective environmental decision-making is often challenging and complex where final solutions frequently possess inherently subjective political and socio-economic components. Consequently complex sustainability applications in the real world frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis - be this on the side of optimization simulation modelling computational solution procedures visual analytics and/or information technologies.