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Content Provider | IET Digital Library |
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Author | Kwan, Hon Keung Raju, Rija |
Abstract | In this paper, an adaptive modification rate artificial bee colony (AMR-ABC) algorithm is proposed by incorporating a novel adaptive modification rate to adaptively balance exploration and exploitation to determine which parameters (or the number of parameters) to be updated in a solution during each iteration. The performance of the AMR-ABC algorithm is compared to those the standard ABC algorithm and its two variants, and the Parks–McClellan algorithm for designing Type 3 (orders: 14, 26, and 38) and Type 4 (orders: 13, 25, and 37) linear phase FIR differentiators to evaluate their design capabilities. Design results have shown that the proposed AMR-ABC algorithm (i) outperforms four other design algorithms with the lowest p-norm error in each of the six differentiator designs and (ii) is robust such that the same p-norm error solution with an equiripple amplitude response in each of the six differentiator designs can be obtained by repeating a design with a different population of randomly generated initial solutions. The filter coefficients of six linear phase FIR differentiator designs are given as benchmarks to compare the p-norm error performance of the AMR-ABC algorithm to other algorithms. The AMR-ABC algorithm is attractive to be used for optimisation in this and other design problems. |
Starting Page | 803 |
Ending Page | 811 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 14 |
e-ISSN | 17519683 |
Issue Number | Issue 10, Dec (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/14/10 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0587 |
Journal | IET Signal Processing |
Publisher Date | 2021-02-25 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Filter Adaptive Modification Rate Artificial Bee Colony Algorithm AMR-ABC Algorithm Artificial Bee Colony Algorithm Filtering Method in Signal Processing FIR Filter Interpolation And Function Approximation Iterative Method Linear Phase FIR Differentiator Designs Numerical Analysis Optimisation Technique P-norm Error Solution P-norm Linear Phase FIR Differentiator Design Parks–McClellan Algorithm Signal Processing Theory Standard ABC Algorithm |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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