Modified Metaheuristic Algorithms for the Optimal Design of Multiplier-Less Non-uniform Channel Filters

Bindiya, T. S.; Elias, Elizabeth

doi:10.1007/s00034-013-9662-8

Cited by 28 publications

(5 citation statements)

References 20 publications

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“…Both researchers have also considered the hybridization of two different global search techniques. Bindiya and Elias [13] had applied different modified metaheuristic algorithms for the design of multiplier-less nonuniform channel filters and compared their results. They concluded that gravitational search algorithm (GSA) is the fastest and also gives acceptable values of the frequency-response characteristics and complexity.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Design of Digital IIR Filter with Conflicting Objectives Using Hybrid Gravitational Search Algorithm

Sidhu

Dhillon

Kaur

2015

Mathematical Problems in Engineering

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In the recent years, the digital IIR filter design as a single objective optimization problem using evolutionary algorithms has gained much attention. In this paper, the digital IIR filter design is treated as a multiobjective problem by minimizing the magnitude response error, linear phase response error and optimal order simultaneously along with meeting the stability criterion. Hybrid gravitational search algorithm (HGSA) has been applied to design the digital IIR filter. GSA technique is hybridized with binary successive approximation (BSA) based evolutionary search method for exploring the search space locally. The relative performance of GSA and hybrid GSA has been evaluated by applying these techniques to standard mathematical test functions. The above proposed hybrid search techniques have been applied effectively to solve the multiparameter and multiobjective optimization problem of low-pass (LP), high-pass (HP), band-pass (BP), and band-stop (BS) digital IIR filter design. The obtained results reveal that the proposed technique performs better than other algorithms applied by other researchers for the design of digital IIR filter with conflicting objectives.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Design of Digital IIR Filter with Conflicting Objectives Using Hybrid Gravitational Search Algorithm

Sidhu

Dhillon

Kaur

2015

Mathematical Problems in Engineering

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“…Optimization performs a vital function in scientific, manufacturing, and environmental processes in the modern world [1]. To solve problems of this kind, researchers use several different methods to determine the right approach for a specific problem [2,3]. Scientists are also constantly searching for more sophisticated modeling strategies [1,4,5].…”

Section: Introductionmentioning

confidence: 99%

A Modified Niching Crow Search Approach to Well Placement Optimization

et al. 2021

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Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques.

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“…The residue number system (RNS) is a non-weighted number system that can speed up arithmetic operations, due to its peculiar features of carry-free propagation and parallelism. This results in carry-free addition, multiplication, and subtraction [37][38][39]. The most important factors to consider when choosing an RNS for an FIR filter is the moduli set.…”

Section: Introductionmentioning

confidence: 99%

Improving Generalized Discrete Fourier Transform (GDFT) Filter Banks with Low-Complexity and Reconfigurable Hybrid Algorithm

Otunniyi

Myburgh

2020

Digital

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With ever-increasing wireless network demands, low-complexity reconfigurable filter design is expected to continue to require research attention. Extracting and reconfiguring channels of choice from multi-standard receivers using a generalized discrete Fourier transform filter bank (GDFT-FB) is computationally intensive. In this work, a lower compexity algorithm is written for this transform. The design employs two different approaches: hybridization of the generalized discrete Fourier transform filter bank with frequency response masking and coefficient decimation method 1; and the improvement and implementation of the hybrid generalized discrete Fourier transform using a parallel distributed arithmetic-based residual number system (PDA-RNS) filter. The design is evaluated using MATLAB 2020a. Synthesis of area, resource utilization, delay, and power consumption was done on a Quartus 11 Altera 90 using the very high-speed integrated circuits (VHSIC) hardware description language. During MATLAB simulations, the proposed HGDFT algorithm attained a 66% reduction, in terms of number of multipliers, compared with existing algorithms. From co-simulation on the Quartus 11 Altera 90, optimization of the filter with PDA-RNS resulted in a 77% reduction in the number of occupied lookup table (LUT) slices, an 83% reduction in power consumption, and an 11% reduction in execution time, when compared with existing methods.

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Modified Metaheuristic Algorithms for the Optimal Design of Multiplier-Less Non-uniform Channel Filters

Cited by 28 publications

References 20 publications

Design of Digital IIR Filter with Conflicting Objectives Using Hybrid Gravitational Search Algorithm

Design of Digital IIR Filter with Conflicting Objectives Using Hybrid Gravitational Search Algorithm

A Modified Niching Crow Search Approach to Well Placement Optimization

Improving Generalized Discrete Fourier Transform (GDFT) Filter Banks with Low-Complexity and Reconfigurable Hybrid Algorithm

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