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Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits

Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits
Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits
The DC operating point of an electronic circuit is conventionally found using the Newton-Raphson method. This method is not globally convergent and can only find one solution of the circuit at a time. In this paper, evolutionary computing methods, including Genetic Algorithms, Evolutionary Programming, Evolutionary Strategies and Differential Evolution are explored as possible alternatives to Newton-Raphson. These techniques have been implemented in a trial simulator. Results are presented showing that Evolutionary Computing methods are globally convergent and can find multiple solutions to circuits. The CPU time for these new methods is poor compared with Newton-Raphson, but better implementations and the use of hybrid methods suggest that further work in this area would prove fruitful.
Zwolinski, M.
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Crutchley, D.
2842a411-55a8-4d7f-9a17-dd9242bae966
Yang, Z.R.
b71f8582-83df-4c36-9925-136cdfd207f9
Zwolinski, M.
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Crutchley, D.
2842a411-55a8-4d7f-9a17-dd9242bae966
Yang, Z.R.
b71f8582-83df-4c36-9925-136cdfd207f9

Zwolinski, M., Crutchley, D. and Yang, Z.R. (2000) Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits At International Conference on Signals and Electronic Systems (ICSES).

Record type: Conference or Workshop Item (Other)

Abstract

The DC operating point of an electronic circuit is conventionally found using the Newton-Raphson method. This method is not globally convergent and can only find one solution of the circuit at a time. In this paper, evolutionary computing methods, including Genetic Algorithms, Evolutionary Programming, Evolutionary Strategies and Differential Evolution are explored as possible alternatives to Newton-Raphson. These techniques have been implemented in a trial simulator. Results are presented showing that Evolutionary Computing methods are globally convergent and can find multiple solutions to circuits. The CPU time for these new methods is poor compared with Newton-Raphson, but better implementations and the use of hybrid methods suggest that further work in this area would prove fruitful.

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More information

Published date: October 2000
Venue - Dates: International Conference on Signals and Electronic Systems (ICSES), 2000-10-01
Organisations: EEE

Identifiers

Local EPrints ID: 255730
URI: http://eprints.soton.ac.uk/id/eprint/255730
PURE UUID: 62e41001-661e-429b-8737-925ce6b872bd
ORCID for M. Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

Catalogue record

Date deposited: 17 Apr 2001
Last modified: 18 Jul 2017 09:51

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Contributors

Author: M. Zwolinski ORCID iD
Author: D. Crutchley
Author: Z.R. Yang

University divisions

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