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