Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design

作者：Xiao Song; Rotaru Mihai; Sykulski Jan K^*

来源：IEEE Transactions on Magnetics, 2013, 49(5): 2057-2060.

DOI：10.1109/TMAG.2013.2240662

• Computational electromagnetics
• design optimization
• pareto optimization
• topology

The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered.

• 出版日期2013-5