A direct coupled solution methodology for efficient robust optimizations of inverse problems under uncertainty

Siu Lau Ho, Shiyou Yang, Yanan Bai, Jin Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


In the existing resolution methodology for robust design optimizations, the procedures for solving robust optimization and uncertainty quantization as well as the use of high fidelity models are completely decoupled and independent from each other. As a result, the overall cost is typically the product of the costs of the three approaches. Such methodology is simple but more expensive than necessary. To develop an efficient robust optimizer, a direct coupled solution methodology based on an evolutionary algorithm is proposed. Stochastic approximation method is employed to minimize the computational burdens when computing the gradient information in designing the exploiting phase. Numerical results are reported to showcase the merits of the proposed methodology.
Original languageEnglish
Article number7093622
JournalIEEE Transactions on Magnetics
Issue number3
Publication statusPublished - 1 Mar 2015


  • Evolutionary algorithm
  • robust optimization
  • stochastic approximation
  • uncertainty

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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