but their corresponding performance is determined at network level. Although the problem can be formulated as a multi-objective …

simultaneously. In recent years, a large amount of efforts have been devoted to addressing the challenges brought by stochastic multi-objective … optimization problems (SMOPs), and, a number of stochastic multi-objective metaheuristic algorithms have been proposed to deal with …, stochastic multi-objective metaheuristic algorithms are categorized into four classes: robust metaheuristics, matheuristics …

A multi-objective optimisation methodology based on determining economic and environmental key performance indicators …

. However, so far discounting has mainly been applied to monetary flows and ignored for many ecosystem services. In multi-objective … range of ecosystem service indicators influences a public planner’s optimal land allocation. We used a robust multi-objective …