Title :
Soft-computing approach to the design of current mirror circuits
Author :
Lemaitre, Laurent ; Patyra, Marek
Author_Institution :
California Univ., Berkeley, CA, USA
Abstract :
This paper describes a method for the layout design of current mirror circuits. The method utilizes the soft computing approach. Specifically, a genetic algorithm (GA) performs placement and routing of the current mirrors. Crossover deals with the spread out of best routing strategies over the population, while mutation deals with better placement and improvement of routing strategies. Each run of the GA produces new routing strategies expressed in terms of fuzzy IF-THEN rules. Rules are tuned so that search procedure becomes less and less random. As a result, better tractability of the searching problem is achieved
Keywords :
VLSI; amplifiers; analogue integrated circuits; circuit layout CAD; fuzzy logic; genetic algorithms; integrated circuit layout; network routing; tree searching; crossover; current mirror circuits; fuzzy IF-THEN rules; genetic algorithm; layout design; mutation; searching problem; soft computing; Connectors; Fuzzy neural networks; Genetic algorithms; Genetic mutations; Integrated circuit interconnections; Mirrors; Neural networks; Routing; Very large scale integration; Wires;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538072
