Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimization of Microwave Filters

@article{Zhang2015CognitionDrivenFO,
  title={Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimization of Microwave Filters},
  author={Chao Zhang and Feng Feng and Venu-Madhav-Reddy Gongal-Reddy and Q. J. Zhang and John W. Bandler},
  journal={IEEE Transactions on Microwave Theory and Techniques},
  year={2015},
  volume={63},
  pages={2154-2165}
}
Space mapping is a recognized method for speeding up electromagnetic (EM) optimization. Existing space-mapping approaches belong to the class of surrogate-based optimization methods. This paper proposes a cognition-driven formulation of space mapping that does not require explicit surrogates. The proposed method is applied to EM-based filter optimization. The new technique utilizes two sets of intermediate feature space parameters, including feature frequency parameters and ripple height… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS