Title: BAT algorithm for model order reduction

Authors: Shilpi Lavania; Deepak Nagaria

Addresses: Faculty of Electronics Engineering, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India ' Department of Electronics and Communication Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, India

Abstract: Metaheuristic algorithms have made an unprecedented impact on model order reduction (MOR). Almost every year new algorithm emerges with an extended literature. These nature-based metaheuristic algorithms have attracted researchers to apply these algorithms for finding reduced order approximants of higher order system. This paper proposes a mixed approach for model order reduction based on metaheuristic BAT algorithm (BA) which is inspired by echolocation of microbats and Padé approximation based on matching of both time moments and Markov parameters. Further the efficiency of the method is investigated in terms of integral square error (ISE). This paper also draws a comparison of proposed method with existing techniques for models order reduction.

Keywords: model order reduction; MOR; metaheuristics; integral square error; ISE; bat algorithm; Pade approximation; time moments; Markov parameters.

DOI: 10.1504/IJMMNO.2016.081885

International Journal of Mathematical Modelling and Numerical Optimisation, 2016 Vol.7 No.3/4, pp.244 - 258

Received: 16 Jan 2016
Accepted: 09 May 2016
Published online: 30 Jan 2017 *

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