An adaptive optimal strategy based on the combination of the dynamic-Q optimization method and response surface methodology

Shiyou Yang, Siu Lau Ho, Guangzheng Ni, H. C. Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


The dynamic-Q optimization method is combined with an interpolating moving least-squares approximation-based response surface model to design an efficient adaptive strategy for solving computationally heavy design problems. The proposed optimal strategy is validated by comparing its performances in finding the solutions of other common optimal methods on two different kinds of problems.
Original languageEnglish
Pages (from-to)1760-1763
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number5
Publication statusPublished - 1 May 2005


  • Dynamic-Q method
  • Global optimization
  • Optimal design
  • Response surface methodology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Physics and Astronomy (miscellaneous)

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