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Structural and Multidisciplinary Optimization
Published 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

Authors: Jongsoo Lee, Yong Sik Kwon

Published in: Structural and Multidisciplinary Optimization | Issue 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.
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Metadata
Title
Conservative multi-objective optimization considering design robustness and tolerance: a quality engineering design approach
Authors
Jongsoo Lee
Yong Sik Kwon
Publication date
01-02-2013
Publisher
Springer-Verlag
Published in
Structural and Multidisciplinary Optimization / Issue 2/2013
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-012-0823-3

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