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This article presents a constrained optimization method, based on the duality theory, which does not need the gradients …. The method is used to optimize superconducting devices. In order to reduce the computing effort, the initial optimization … problem is divided into two coupled optimization problems. One manages the geometrical parameters, the other finds the best …
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into a new sequential derivative-free approach for solving unconstrained deterministic black-box optimization problems ….In this sequential derivative-free optimization approach local approximations of the underlying objective function are …
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The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating...
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This article uses a sequentialized experimental design to select simulation input combinations for global optimization … “efficient global optimization” (EGO) through the introduction of an improved estimator of the Kriging predictor variance; this …
Persistent link: https://www.econbiz.de/10010994014
Whereas Operations Research has always paid much attention to optimization, practitioners judge the robustness of the … combination of the following four proven techniques: (1) discrete-event simulation, (2) heuristic optimization, (3) risk or …
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