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DC operating point analysis using evolutionary computing

Crutchley, DA and Zwolinski, M (2004) DC operating point analysis using evolutionary computing At 24th International Conference on Microelectronics (MIEL 2004), Serbia. , pp. 727-730.

Record type: Conference or Workshop Item (Paper)


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.

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Published date: 2004
Additional Information: Event Dates: May 2004
Venue - Dates: 24th International Conference on Microelectronics (MIEL 2004), Serbia, 2004-05-01
Organisations: EEE


Local EPrints ID: 260396
PURE UUID: 2264bef2-5046-47ab-8187-3396dbc34c87
ORCID for M Zwolinski: ORCID iD

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Date deposited: 27 Jan 2005
Last modified: 18 Jul 2017 09:13

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Author: DA Crutchley
Author: M Zwolinski ORCID iD

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