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

Jongsoo Lee, Yong Sik Kwon

Research output: Contribution to journalArticle

10 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)259-272
Number of pages14
JournalStructural and Multidisciplinary Optimization
Issue number2
Publication statusPublished - 2013 Feb 1


All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Control and Optimization

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