efficient for the (vector-) optimization problem of simultaneous minimization of discrepancies. A characterization of the set of …

, groundwater quality has been impaired because of contamination. Here we present a multi-objective optimization framework for … optimization methods are tested. Constant scheduling where decision variables are held constant during the time of optimization …, and sequential scheduling where the optimization is performed stepwise for daily time steps. The latter is developed to …

a large number of simulations. The global optimization method NSGA-II was retained. A fully automatized in …-house optimization environment was used to solve the problem, including mesh generation and CFD (computational fluid dynamics …) simulations. The optimization was performed in parallel on a Linux cluster with a very good speed-up. …

alternatives by these value estimates. Other optimization-based processes operate in a similar manner. With uncertainty and limited … optimization-based selection process. We call this phenomenon the optimizer's curse and argue that it is not well understood or …

the schedule across a network of airports. This is performed using a multi-objective optimization approach that is … airline schedule optimization approach is implemented using a multi-objective evolutionary algorithm which is capable of … multi-objective schedule optimization are evaluated in a variety of scenarios including periods of high, medium, and low …

costs in the optimization processes, and (3) balance the trade-off between remediation costs and remediation outcomes …