DocumentCode :
2325018
Title :
Genetic algorithm techniques for 3-valued transistor design
Author :
Cabrasawan, Feb J. ; Lesniak, Joanna ; Wesselkamper, T.C.
Author_Institution :
Dept. of Comput. Sci., City Univ. of New York, NY, USA
fYear :
1994
fDate :
27-29 Jun 1994
Firstpage :
656
Abstract :
Modern electronic circuits are fabricated from transistors, which are devices with two inputs and one output, Present day commercial circuits use electricity at a high and a low voltage to represent the values 0 and 1. In recent years it has become possible to build circuits that use light, transported through fiber wave guides, instead of electricity. If light is used then there is no particular reason to limit the set of values represented to E(2)=(0, 1). Active research goes on in the design of multiple-valued optical processors. The paper explores the use of genetic algorithms in the design of efficient 3-valued transistors. The object of the exploration is to develop a set of techniques that can be extended to the design of efficient 4-valued transistors
Keywords :
circuit CAD; genetic algorithms; network synthesis; search problems; transistor-transistor logic; transistors; 3-valued transistor design; commercial circuits; electronic circuits; fiber wave guides; genetic algorithm techniques; multiple-valued optical processors; Algorithm design and analysis; Computer science; Educational institutions; Electronic circuits; Genetic algorithms; Logic; Low voltage; Optical design; Optical fiber devices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
Type :
conf
DOI :
10.1109/ICEC.1994.349981
Filename :
349981
Link To Document :
بازگشت