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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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 Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 260396
Date Deposited: 27 Jan 2005
Last Modified: 27 Mar 2014 20:03
Publisher: IEEE
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/260396

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