“Real world” decision-making often involves complex problems that are riddled with
incompatible and inconsistent performance objectives. These problems typically possess …

Optimization problems are ubiquitous nowadays. Many times, their corresponding
computational models necessarily leave out of consideration several characteristics and …

Many municipal solid waste management decision-making applications contain
considerable elements of stochastic uncertainty. Simulation-optimisation techniques can be …

Environmental decision-making commonly involves multifaceted problems that demonstrate
considerable uncertainty. Monte Carlo simulation approaches have been employed in a …

Public sector decision-making typically involves complex problems that are riddled with
competing performance objectives and possess design requirements which are difficult to …

Environmental sustainability problems frequently require the need for decision-making in
situations containing considerable uncertainty. Monte Carlo simulation methods have been …

As a result of increasing urban intensification, civic planners have devoted additional
resources to more sustainability-focused logistics planning. Electric vehicles have proved to …

Engineering optimization problems usually contain multifaceted performance requirements
that can be riddled with unquantifiable specifications and incompatible performance …

In solving many “real world” mathematical programming applications, it is often preferable to
formulate numerous quantifiably good approaches that provide distinct alternative solutions …

“Real world” risk analysis in environmental contexts frequently requires the need to contrast
numerous uncertain factors simultaneously and to communicate difficult-to-capture …