PARAMETER ADJUSTER

摘要

Parameters are efficiently and accurately adjusted by applying a genetic algorithm to parameter adjustment of, e.g., a transistor physical model. A parameter adjuster comprises means for generating an initial group by the Latin hypercube sampling, means for generating a new parameter gene by special crossing, and normalizing means for using the parameter adjuster also for a real number parameter. Further, the parameter adjuster comprises evaluating means for evaluating a parameter in consideration of the log scale so as to match, e.g., the characteristics inherent to a transistor (MOSFET). With this constitution, a genetic algorithm can be used for adjusting a large number of parameters of, e.g., the physical model of a transistor, and a parameter group can be determined in a short time with high accuracy.