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Particle Swarm Optimization with Ensemble of Inertia Weight Strategies performance of PSO depends on the appropriate setting of inertia weight and the optimal setting changes with generations during the evolution. Therefore, different adaptive inertia weight strategies have been proposed. However, the best inertia weight adaptive strategy depends on the nature of the

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Analytical Techniques for Making Recommendations More Acceptable to Users: Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account,Many complex real-life systems are so complicated that it is not computationally possible to use realistic nonlinear models to find the corresponding optimal control. Instead, researchers make recommendations based on simplified—e.g., linearized—models.?The recommendations based on these simplified

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Reaktoren und ihre Betriebsweise,evaluating the objective function during the optimisation using the GAs. The objective function was adapted to improve forward flight performance in terms of pitching moment and torque. The obtained results suggest optima in agreement with engineering intuition but provide precise information about