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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 2/2013

01.02.2013 | Research Paper

Conservative multi-objective optimization considering design robustness and tolerance: a quality engineering design approach

verfasst von: Jongsoo Lee, Yong Sik Kwon

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 2/2013

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Abstract

Methods of multi-objective optimization are proposed to account for tolerance of design variable and variation in problem parameter. The post-optimization effort is initiated from deterministic Pareto-optimal solutions that were obtained from NSGA-II. The successive process to determine search directions and step sizes toward conservative multi-objective solutions was conducted by design of experiments to determine the worst design that had the highest constraint violation. The signal-to-noise (S/N) ratio was also employed to represent the robustness of constrained objective functions under parameter variation. Structural optimization was explored to accommodate both design tolerance and parameter variation and further apply S/N ratio in conservative multi-objective optimization.
Vorheriger Artikel Shape optimization of continua using NURBS as basis functions
Nächster Artikel Optimization of the box section of the main girder of the bridge crane with the rail placed above the web plate

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Metadaten
Titel
Conservative multi-objective optimization considering design robustness and tolerance: a quality engineering design approach
verfasst von
Jongsoo Lee
Yong Sik Kwon
Publikationsdatum
01.02.2013
Verlag
Springer-Verlag
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 2/2013
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-012-0823-3

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