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Differential Evolution with Wavelet Mutation in Digital Finite Impulse Response Filter Design

Author

Listed:
  • Sangeeta Mondal

    (NIT Durgapur)

  • Sakti Prasad Ghoshal

    (NIT Durgapur)

  • Rajib Kar

    (NIT Durgapur)

  • Durbadal Mandal

    (NIT Durgapur)

Abstract

This paper proposes one novel algorithm called differential evolution with wavelet mutation for the optimal design of linear phase finite impulse response filters. For comparative performance study, the Parks–McClellan algorithm and some evolutionary algorithms like the real coded genetic algorithm, conventional particle swarm optimization, and conventional differential evolution have also been applied.

Suggested Citation

  • Sangeeta Mondal & Sakti Prasad Ghoshal & Rajib Kar & Durbadal Mandal, 2012. "Differential Evolution with Wavelet Mutation in Digital Finite Impulse Response Filter Design," Journal of Optimization Theory and Applications, Springer, vol. 155(1), pages 315-324, October.
    • Handle: RePEc:spr:joptap:v:155:y:2012:i:1:d:10.1007_s10957-012-0028-3
    DOI: 10.1007/s10957-012-0028-3
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    Cited by:

    1. Turgut, Oguz Emrah & Turgut, Mert Sinan, 2023. "Local search enhanced Aquila optimization algorithm ameliorated with an ensemble of Wavelet mutation strategies for complex optimization problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 206(C), pages 302-374.

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