Abstract
This paper discusses genetic operations and their effects on evolution of chromosomes in BSIM parameter extraction problems. Generally, Real-coded GA using Simplex Crossover is often employed to extract BSIM model parameter sets. BSIM model parameters, however, have recommended operating ranges. There are regarded as a kind of constraint, thus all extracted parameters have to be satisfied these constraints. In many cases, when the number of parameters becomes large, the conventional method using GA and SPX generates a lot of infeasible solutions because SPX makes offspring on the simplex plane expanded by ε parameter. This reduces the effectiveness of GA drastically. Therefore, this paper proposes a new genetic operation considering these constraints to prevent reduction of effectiveness. In this paper, some experiments using actual static characteristic curves MOS-FET were conducted to validate the proposed method and the effectiveness of the proposed method is also discussed.
