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As the size of CMOS devices is approaching the atomic level, the increasing intrinsic device variability is leading to higher failure rates in conventional designs. In this paper, two approaches are proposed for evolving unconventional variability-tolerant CMOS designs: one uses a simple Genetic Algorithm, whilst the other uses Cartesian Genetic Programming. Both approaches successfully evolve unconventional designs for logic gates, whilst an inverter design also shows signs of variability-tolerance.
|Number of pages||12|
|Journal||8th International Conference on Evolvable Systems|
|Publication status||Published - Sep 2008|
- 1 Finished
NanoCMOS: Meeting the Design Challenges of ....
Tyrrell, A., Walker, J. A. & Hilder, J. A.
1/10/06 → 30/09/10
Project: Research project (funded) › Research