Whale optimization algorithm: An implementation to design low-pass FIR filter
Das BK, Chakraborty N, Mukherjee A (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2017-January
Pages Range: 1-5
Conference Proceedings Title: 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017
Event location: Vellore
ISBN: 9781509056828
DOI: 10.1109/IPACT.2017.8244929
Abstract
Whale Optimisation Algorithm (WOA) is a recently developed nature-inspired, meta-heuristic algorithm, which is being used to solve various multidimensional complex problems. This paper presents the design of lower order Type 1 and Type 2 FIR Filter using WOA. The Convergence curves for the design of Type 1 Order 20 and Type 2 Order 19 FIR filters show a steady convergence over the entire search space. The pass band ripple and stop band attenuation is calculated to judge the efficiency of the designed filter. The time taken for the algorithm to produce the required coefficients to design a filter of a given order is also calculated.
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How to cite
APA:
Das, B.K., Chakraborty, N., & Mukherjee, A. (2017). Whale optimization algorithm: An implementation to design low-pass FIR filter. In 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 (pp. 1-5). Vellore, IN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Das, Badhan Kumar, Niloy Chakraborty, and Adrika Mukherjee. "Whale optimization algorithm: An implementation to design low-pass FIR filter." Proceedings of the 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017, Vellore Institute of Electrical and Electronics Engineers Inc., 2017. 1-5.
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