DC operating point analysis using evolutionary computing
DC operating point analysis using evolutionary computing
This paper discusses and evaluates a new approach to operating point analysis based on evolutionary computing (EC). EC can find multiple solutions to a problem by using a parallel search through a population. At the operating point(s) of a circuit the overall error has a minimum value. Therefore, we use an Evolutionary Algorithm (EA) to search the solution space to find these minima. Various evolutionary algorithms are described. Several such algorithms have been implemented in a full circuit analysis tool. The performance and accuracy of the algorithms are compared to Newton-Raphson (NR). Evolutionary algorithms are shown to be robust and to have an accuracy comparable to that of NR. The development of a hybrid algorithm is also discussed.
727-730
Crutchley, DA
e409a7d3-e1f2-4889-b1e5-8169b78ee0f7
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
2004
Crutchley, DA
e409a7d3-e1f2-4889-b1e5-8169b78ee0f7
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Crutchley, DA and Zwolinski, M
(2004)
DC operating point analysis using evolutionary computing.
24th International Conference on Microelectronics (MIEL 2004), Nis and Montenegro, Serbia.
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Conference or Workshop Item
(Paper)
Abstract
This paper discusses and evaluates a new approach to operating point analysis based on evolutionary computing (EC). EC can find multiple solutions to a problem by using a parallel search through a population. At the operating point(s) of a circuit the overall error has a minimum value. Therefore, we use an Evolutionary Algorithm (EA) to search the solution space to find these minima. Various evolutionary algorithms are described. Several such algorithms have been implemented in a full circuit analysis tool. The performance and accuracy of the algorithms are compared to Newton-Raphson (NR). Evolutionary algorithms are shown to be robust and to have an accuracy comparable to that of NR. The development of a hybrid algorithm is also discussed.
More information
Published date: 2004
Additional Information:
Event Dates: May 2004
Venue - Dates:
24th International Conference on Microelectronics (MIEL 2004), Nis and Montenegro, Serbia, 2004-05-01
Organisations:
EEE
Identifiers
Local EPrints ID: 260396
URI: http://eprints.soton.ac.uk/id/eprint/260396
PURE UUID: 2264bef2-5046-47ab-8187-3396dbc34c87
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Date deposited: 27 Jan 2005
Last modified: 15 Mar 2024 02:39
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Contributors
Author:
DA Crutchley
Author:
M Zwolinski
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