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This paper presents a method for the automated sizing of analog circuits using genetic algorithm (GA). For the rapid and efficient exploration of GA, we introduce the idea of search space sphering and dimension reduction with principal component analysis (PCA). The potential capability of the system is demonstrated through the automated sizing of wide-swing current mirror circuit. Experimental results show that the system with PCA successfuly generates higher-performance circuits under given evaluation function on average, and the dimensionally reduction method further improves the performance of solutions.

AUTOMATED SIZING OF ANALOG CIRCUITS BASED ON GENETIC ALGORITHM WITH PARAMETER ORTHOGONALIZATION PROCEDURE