Digital design and optimization of higher order adaptive system using Continuous genetic algorithm

  • Authors

    • vijay yadav mits gwalior
    • sarita singh bhadauria mits gwalior
    https://doi.org/10.14419/ijet.v1i4.186

    Received date: July 3, 2012

    Accepted date: July 19, 2012

    Published date: August 8, 2012

  • Abstract

    An algorithm for design and optimization of higher order adaptive system are presented in this paper. In this work, the algorithm applied on the continuous search space parameter rather than discrete search space parameter. A new continuous genetic operator such that Rank based selection, Normal crossover and Mutations are used to improve the rate of convergence and solution quality has been proposed.

    Author Biographies

    • vijay yadav, mits gwalior
      EC
    • sarita singh bhadauria, mits gwalior
      EC

  • References

    1. S. Mitra, Digital Signal Processing: A Computer-Based Approach, 2nd ed. Boston: McGraw-Hill Irwin, 2001.
    2. R. Mersereau& M. Smith, Digital Filtering: A Computer Laboratory Textbook. John Wiley & Sons, Inc, 1994.
    3. D. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning. Reading, MA: Addison Wesley Pub. Co., 1989.
    4. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: The University of Michigan Press, 1975.
    5. C. Darwin, the Origin of Species, ser. The Harvard Classics. New York: P F Collier & Son, 1909, vol. 11.
    6. W. Edmonson et al., “A global least mean square algorithm for adaptive IIR filtering," IEEE Trans. on Circuits and Systems, vol. 45, no. 3, pp. 379-384, Mar 1998.
    7. D. Talla, S. Rao & L. John, “An evolutionary computation embedded IIR LMS algorithm," in Proceedings of International Conference on Signal Processing Applications and Technology, Orlando, FL, Nov 1-4, 1999.
    8. L. Wang, W. Li, & D. Zheng, “A class of hybrid strategy for adaptive IIR filters designs." Shanghai, China: 8th International Conference on Neural Information Processing, Nov 14-18, 2001.
    9. D. Dumitrescu et al., Evolutionary Computation. Boca Raton, FL: CRC Press, 2000.
    10. A. Kosir & J. Tasiċ, “Genetic algorithm and filtering." Sheffield, UK: First International Conference on Genetic Algorithms in Engineering Systems: Innovations and applications, Sep 14-18, 1995.
    11. N. Karaboga and B. Çetinkaya, “Performance Comparison of Genetic Algorithm based Design Methods of Digital Filters with Optimal Magnitude Response and Minimum Phase,” The 46th IEEE Midwest Symposium on Circuits and Systems, Egypt.2003

  • Downloads

  • How to Cite

    yadav, vijay, & bhadauria, sarita singh. (2012). Digital design and optimization of higher order adaptive system using Continuous genetic algorithm. International Journal of Engineering and Technology, 1(4), 290-297. https://doi.org/10.14419/ijet.v1i4.186