A new design method using opposition-based BAT algorithm for IIR system identification problem

  • Authors:

  • Suman Kumar Saha;Rajib Kar;Durbadal Mandal;Sakti Prasad Ghoshal;Vivekananda Mukherjee

  • Affiliations:

  • Electronics and Communication Engineering Department, National Institute of Technology Durgapur, West Bengal, 713209, India;Electronics and Communication Engineering Department, National Institute of Technology Durgapur, West Bengal, 713209, India;Electronics and Communication Engineering Department, National Institute of Technology Durgapur, West Bengal, 713209, India;Electronics and Communication Engineering Department, National Institute of Technology Durgapur, West Bengal, 713209, India;Department of Electrical Engineering, Indian School of Mines, Dhanbad, 826004, Jharkhand, India

  • Venue:
  • International Journal of Bio-Inspired Computation
  • Year:
  • 2013

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Abstract

BAT algorithm BA is a meta-heuristic algorithm, based on the echolocation behaviour of bats. In this paper, optimal set of filter coefficients is searched by the modified optimisation methodology called opposition-based BAT algorithm OBA for infinite impulse response IIR system identification problem. Opposition based numbering concept is embedded into the primary foundation of BA metaphorically to enhance the convergence speed and performance for finding better near-global optimal solution. Detailed and balanced search in multidimensional problem space is accomplished with judiciously chosen control parameters of OBA technique. When tested against standard benchmark examples, for same and reduced order models, the simulation results establish the OBA as a more competent candidate to other evolutionary algorithms as real coded genetic algorithm RGA, differential evolution DE and particle swarm optimisation PSO in terms of accuracy and convergence speed.