Crutchley, DA and Zwolinski, M
DC operating point analysis using evolutionary computing
At 24th International Conference on Microelectronics (MIEL 2004), Serbia.
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.
Conference or Workshop Item
||Event Dates: May 2004
|Venue - Dates:
||24th International Conference on Microelectronics (MIEL 2004), Serbia, 2004-05-01
||27 Jan 2005
||17 Apr 2017 22:14
|Further Information:||Google Scholar|
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