A surrogate-based multi-objective optimization framework is employed in the design of natural gas liquefaction processes using reliable, black-box process simulation. The conflicting objectives are minimizing both power consumption and heat exchanger area utilization. Pareto solutions single-mixed refrigerant (SMR) propane-precooled mixed (C3MR) compared to determine suitability each terms ener...

Transboundary water resources allocation is an effective measure to resolve water-related conflicts. Aiming at the problem of conflicts, we constructed models based on game theory and multi-objective optimization, revealed differences between two models. We compare Pareto front solved by AR-MOEA method NSGA-II method, analyzed difference Nash–Harsanyi Leader–Follower model optimization model. T...

Traditional hydrological objective functions may penalize models that reproduce hydrograph shapes well, but with some shift in time; especially for urban catchments a fast response. Hydrograph timing is not always critical, so this paper investigates alternative (based on the Matching Algorithm) try to mimic visual comparison. A modified version of Generalized Likelihood Uncertainty Estimation ...