DC operating point analysis using evolutionary computing
Crutchley, DA and Zwolinski, M (2004) DC operating point analysis using evolutionary computing. In, 24th International Conference on Microelectronics (MIEL 2004), Nis and Montenegro, Serbia, IEEE, 727-730.
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Description/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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Event Dates: May 2004 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > EEE |
| Item ID: | 260396 |
| Date Deposited: | 27 Jan 2005 |
| Last Modified: | 18 Aug 2012 03:54 |
| Contributors: | Crutchley, DA (Author) Zwolinski, M (Author) |
| Date: | 2004 |
| Additional Information: | Event Dates: May 2004 |
| Status: | Published |
| Publisher: | IEEE |
| Further Information: | Google Scholar |
| ISI Citation Count: | 0 |
| URI: | http://eprints.soton.ac.uk/id/eprint/260396 |
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