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

(GA), Simulated Annealing (SA) and Particle Swarm Optimization (PSO), along with their combination GA-SA, and GA-PSO. It …

A new multi-objective method called Multi-Objective Electric Charged Particles Optimization (MOECPO) is proposed to … efficiency and maximum output power are the objectives. Furthermore, while dealing with an optimization problem, reducing the …

, 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. …