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Textbooks on Design of Experiments invariably start by explaining why one-factor-at-a-time (OAT) is an inferior method. Here we will show that in a model with all interactions a variant of OAT is extremely efficient, provided that we only have non-negative parameters and that there are only a...
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simulation models. This contribution discusses the different types of DOE for these three domains, but focusses on random … simulation. DOE may have two goals: sensitivity analysis including factor screening and optimization. This contribution starts …
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Simulated annealing (SA) is a stochastic optimization method with principles taken from the physical process called “annealing” which aims to bring a solid to its ground state or state of minimum energy. SA is known as a simple heuristic tool suitable for providing direct or approximate...
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