Highly nonlinear multidisciplinary optimization with a large number of binary variables (spot welds) can be handled successfully utilizing genetic optimization algorithms combined with robustness analysis. The genetic optimization procedure can consider many arbitrarily defined constraints or objectives. In many cases, only a few analyses are required to identify most important parameters or constraints, and to improve them. In particular, if the start design is far from optimal, significant design improvement can be achieved with little effort. For nonlinear problems it is essential to keep the optimal design robust. It is therefore mandatory to analyze the robustness of the optimal design with respect to the most important random variations of the parameters. By introducing constraints relevant for robustness, it is possible to automatically keep the design in the robust range.
Genetische Optimierung von punktgeschweißten Strukturen im Fahrzeugbau
2002
16 Seiten, 14 Bilder, 6 Tabellen, 6 Quellen
(nicht paginiert)
Conference paper
German
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