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Computer‐aided optimization of broadband nonlinear RF/microwave circuits by evolutionary algorithms coupled with neural models
Author(s) -
Borghi Carlo Angelo,
Fabbri Massimo,
Lipparini Alessandro,
Mastri Franco,
Rizzoli Vittorio
Publication year - 2003
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.10968
Subject(s) - microwave , broadband , inductor , electronic engineering , evolutionary algorithm , nonlinear system , capacitor , electronic circuit , artificial neural network , engineering , computer science , electrical engineering , telecommunications , physics , artificial intelligence , voltage , quantum mechanics
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