Comparison of different orders optimization using Continuous Genetic Algorithm “THIS PAPER HAS BEEN WITHDRAWN”
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https://doi.org/10.14419/ijet.v1i4.305
Received date: July 27, 2012
Accepted date: August 19, 2012
Published date: August 31, 2012
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Abstract
Method to optimize different orders of digital filter and their comparison results are presented in this paper. An algorithm that operates on a complex continuous search space is constructed. The algorithm developed in this paper is different from the conventional method since here algorithm is applied on the continuous search space parameter instead on discrete search space parameter. Also new genetic operators are presented which combine crossover and adaptive mutation to improve solution quality of Genetic Algorithm (GA). A customized application layer called filter design algorithm (FDA) to handle specific format and properties of filter design problem has been develop for optimized GA.
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References
- S. Mitra, Digital Signal Processing: A Computer-Based Approach, 2nd ed. Boston: McGraw-Hill Irwin, 2001.
- R. Mersereau & M. Smith, Digital Filtering: A Computer Laboratory Textbook. John Wiley & Sons, Inc, 1994.
- D. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning. Reading, MA: Addison Wesley Pub. Co., 1989.
- Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: The University of Michigan Press, 1975.
- C. Darwin, the Origin of Species, ser. The Harvard Classics. New York: P F Collier & Son, 1909, vol. 11.
- 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.
- 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.
- 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.
- D. Dumitrescu et al., Evolutionary Computation. Boca Raton, FL: CRC Press, 2000.
- 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.
- 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
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How to Cite
Yadav, V., & Bhadauria, S. (2012). Comparison of different orders optimization using Continuous Genetic Algorithm “THIS PAPER HAS BEEN WITHDRAWN”. International Journal of Engineering and Technology, 1(4), 368-376. https://doi.org/10.14419/ijet.v1i4.305
