Abstract
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 language | English |
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Pages (from-to) | 1760-1763 |
Number of pages | 4 |
Journal | IEEE Transactions on Magnetics |
Volume | 41 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 May 2005 |
Keywords
- Dynamic-Q method
- Global optimization
- Optimal design
- Response surface methodology
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Physics and Astronomy (miscellaneous)