Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies
Kralicek P, John W, Reinhold C, Teich J (2003)
Publication Type: Conference contribution
Publication year: 2003
Publisher: IEEE Computer Society
Edited Volumes: 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Series: Synthesizing Passive Networks by applying Genetic Programming and Evolution Strategies
Pages Range: 1740-1747
Conference Proceedings Title: Proceedings of the Congress on Evolutionary Computation (CEC'03)
Event location: Canberra
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.
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Germany (DE)How to cite
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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