论文信息 - Computer-aided optimization of broadband nonlinear RF/microwave circuits by evolutionary algorithms coupled with neural models

Computer-aided optimization of broadband nonlinear RF/microwave circuits by evolutionary algorithms coupled with neural models

The paper discusses the generation of a family of neural models for spiral inductors and MIM capacitors, and their use in broadband nonlinear circuit optimization by evolutionary algorithms. It is shown that the resulting optimization process is fast and well behaved, and can achieve the same circuit performance produced by a design approach based on lumped passive components. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 38: 46–52, 2003

Franco Mastri | Vittorio Rizzoli | Alessandro Lipparini | Carlo A. Borghi | Massimo Fabbri

[1] Alessandra Costanzo,et al. Efficient numerical optimisation of nonlinear microwave circuits by the harmonic-balance technique coupled with electromagnetic simulation , 1996, 1996 26th European Microwave Conference.

[2] P. Di Barba,et al. A benchmark problem in inverse magnetostatics solved by different multi-objective optimisation methods , 2001 .

[3] A. Costanzo,et al. Coupled electromagnetic/nonlinear optimization of self-oscillating microstrip antennas with far-field performance specifications , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[4] Qi-Jun Zhang,et al. Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques , 2001 .

[5] Alessandra Costanzo,et al. State-of-the-art harmonic-balance simulation of forced nonlinear microwave circuits by the piecewise technique , 1992 .

[6] Thomas Bäck,et al. Evolutionary Algorithms in Theory and Practice , 1996 .

[7] S. H. Chen,et al. Electromagnetic optimization exploiting aggressive space mapping , 1995 .

[8] John W. Bandler,et al. Space mapping technique for electromagnetic optimization , 1994 .