DocumentCode :
285764
Title :
A genetic gate matrix layout algorithm [CMOS circuits]
Author :
Kotliar, Michael ; Tabtieng, Thepthai
Author_Institution :
Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
Volume :
5
fYear :
1992
fDate :
10-13 May 1992
Firstpage :
2252
Abstract :
The authors describe a novel approach for generating a gate matrix style layout. They present a genetic algorithm for determining the order of the polysilicon columns in the layout, which is the first step in generating a gate matrix style layout. The algorithm operates on a set of solutions and produces new solutions through the application of three genetic operators: crossover, mutation, and inversion. These operators search the solution space by combining partial solutions from the current set of solutions and by modifying the current set of solutions. By combining partial solutions to generate new ones, this method has the ability to find compact layouts for circuits that contain repeated structures. The algorithm was tested on several standard circuits and produced results as good as, or superior to, other published results
Keywords :
CMOS integrated circuits; circuit layout CAD; computational complexity; integrated circuit technology; CMOS circuits; IC layout; compact layouts; crossover; gate matrix layout algorithm; genetic algorithm; genetic operators; inversion; mutation; polysilicon columns; Circuit testing; Genetic algorithms; Genetic mutations; MOSFETs; Parasitic capacitance; Simulated annealing; Standards development; Standards publication; Wires; Wiring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
Type :
conf
DOI :
10.1109/ISCAS.1992.230511
Filename :
230511
Link To Document :
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