JACIII Vol.15 No.8 pp. 1131-1138
doi: 10.20965/jaciii.2011.p1131


A Proposal of Genetic Operations for BSIM Parameter Extraction Using Real-Coded Genetic Algorithm

Ai Nishiba*, Hiroharu Kawanaka*, Haruhiko Takase*,
and Shinji Tsuruoka**

*Graduate School of Engineering, Mie University, 1577 Kurima-Machiya, Tsu, Mie 514-8507, Japan

**Graduate School of Regional Innovation Studies, Mie University, 1577 Kurima-Machiya, Tsu, Mie 514-8507, Japan

March 15, 2011
July 15, 2011
October 20, 2011
BSIM parameter extraction problem, realcoded genetic algorithm, simplex crossover, genetic operations, constraints

This paper discusses genetic operations and their effects on evolution of GA in BSIM parameter extraction problems. Generally, Real-Coded Genetic Algorithm (RCGA) using Simplex Crossover (SPX) is often employed to extract BSIM parameter sets. BSIM parameters, however, have recommended operating ranges. There are regarded as constraints, thus all extracted parameters have to be satisfied them. In many cases, when the number of parameters becomes large, the conventional methods generate a lot of infeasible solutions because SPX makes offspring on the simplex plane expanded by ε parameter. This makes search efficiency of GA reduce drastically. Because of these factors, we propose genetic operations considering the constraints to prevent reduction of search efficiency of GA. In this paper, some experiments using actual static characteristic curves of MOS-FET were conducted to validate the proposed method. This paper also discussed the effectiveness of the proposed method.

Cite this article as:
Ai Nishiba, Hiroharu Kawanaka, Haruhiko Takase, and
and Shinji Tsuruoka, “A Proposal of Genetic Operations for BSIM Parameter Extraction Using Real-Coded Genetic Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.8, pp. 1131-1138, 2011.
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Last updated on Feb. 25, 2021