Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Kralicek P, John W, Reinhold C, Teich J
Titel Sammelwerk: 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Verlag: IEEE Computer Society
Jahr der Veröffentlichung: 2003
Titel der Reihe: Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies
Tagungsband: Proceedings of the Congress on Evolutionary Computation (CEC'03)
Seitenbereich: 1740-1747


Abstract


In order to accurately predict the behavior of micro-electronic systems with nodal based software tools like SPICE, it is necessary to know appropriate equivalent circuits of the systems of interest. In microwave and RF engineering, this equivalent networks often have to be derived form measurement or EM field calculation via scattering parameters. In this contribution, a methodology is suggested that combines evolutionary algorithms (EAs) with a nodal based assembly technique in order to synthesize passive equivalent networks. Using only the knowledge of the scattering parameters, both structure and component values of an equivalent circuit of a system are determined by EA. © 2003 IEEE.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Einrichtungen weiterer Autorinnen und Autoren

Universität Paderborn


Zitierweisen

APA:
Kralicek, P., John, W., Reinhold, C., & Teich, J. (2003). Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies. In Proceedings of the Congress on Evolutionary Computation (CEC'03) (pp. 1740-1747). Canberra, AU: IEEE Computer Society.

MLA:
Kralicek, Peter, et al. "Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies." Proceedings of the Congress on Evolutionary Computation (CEC'03),, Canberra IEEE Computer Society, 2003. 1740-1747.

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