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Parameter Estimation Of Schottky-Barrier Diode Model By Particle Swarm Optimization

Author

Listed:
  • KAIER WANG

    (Department of Physics, Zhejiang Normal University, Jinhua, Zhejiang Province, 321004, People's Republic of China)

  • MEIYING YE

    (Department of Physics, Zhejiang Normal University, Jinhua, Zhejiang Province, 321004, People's Republic of China)

Abstract

This paper presents particle swarm optimization (PSO) method to solve the parameter estimation problem of the Schottky-barrier diode model. Based on the synthetic and experimental data, we have demonstrated that the proposed method has high parameter estimation accuracy. Besides, the initial guesses for the model parameter values are not required in the PSO method. Also, the performance of the PSO method is compared with that of the genetic algorithm (GA) method. The results indicate that the PSO method outperforms the binary-coded and real-coded GA methods in terms of estimation accuracy and computation efficiency.

Suggested Citation

  • Kaier Wang & Meiying Ye, 2009. "Parameter Estimation Of Schottky-Barrier Diode Model By Particle Swarm Optimization," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(05), pages 687-699.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:05:n:s0129183109013911
    DOI: 10.1142/S0129183109013911
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