Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm
Filters are electrical circuits or networks that filter out unwanted signals. In these circuits, signals are permeable in a certain frequency range. Attenuation occurs in signals outside this frequency range. There are two types of filters: passive and active. Active filters consist of passive and a...
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Biomimetics |
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| Online Access: | https://www.mdpi.com/2313-7673/8/7/540 |
| _version_ | 1797459996393340928 |
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| author | Mehmet Beşkirli Mustafa Servet Kiran |
| author_facet | Mehmet Beşkirli Mustafa Servet Kiran |
| author_sort | Mehmet Beşkirli |
| collection | DOAJ |
| description | Filters are electrical circuits or networks that filter out unwanted signals. In these circuits, signals are permeable in a certain frequency range. Attenuation occurs in signals outside this frequency range. There are two types of filters: passive and active. Active filters consist of passive and active components, including transistors and operational amplifiers, but also require a power supply. In contrast, passive filters only consist of resistors and capacitors. Therefore, active filters are capable of generating signal gain and possess the benefit of high-input and low-output impedance. In order for active filters to be more functional, the parameters of the resistors and capacitors in the circuit must be at optimum values. Therefore, the active filter is discussed in this study. In this study, the tree seed algorithm (TSA), a plant-based optimization algorithm, is used to optimize the parameters of filters with tenth-order Butterworth and Bessel topology. In order to improve the performance of the TSA for filter parameter optimization, opposition-based learning (OBL) is added to TSA to form an improved TSA (I-TSA). The results obtained are compared with both basic TSA and some algorithms. The experimental results show that the I-TSA method is applicable to this problem by performing a successful prediction process. |
| first_indexed | 2024-03-09T16:59:41Z |
| format | Article |
| id | doaj.art-b957cd759ed64cf1b7200a20111deca1 |
| institution | Directory Open Access Journal |
| issn | 2313-7673 |
| language | English |
| last_indexed | 2024-03-09T16:59:41Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj.art-b957cd759ed64cf1b7200a20111deca12023-11-24T14:31:40ZengMDPI AGBiomimetics2313-76732023-11-018754010.3390/biomimetics8070540Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed AlgorithmMehmet Beşkirli0Mustafa Servet Kiran1Department of Computer Engineering, Karamanoğlu Mehmetbey University, 70200 Karaman, TürkiyeDepartment of Computer Engineering, Konya Technical University, 42250 Konya, TürkiyeFilters are electrical circuits or networks that filter out unwanted signals. In these circuits, signals are permeable in a certain frequency range. Attenuation occurs in signals outside this frequency range. There are two types of filters: passive and active. Active filters consist of passive and active components, including transistors and operational amplifiers, but also require a power supply. In contrast, passive filters only consist of resistors and capacitors. Therefore, active filters are capable of generating signal gain and possess the benefit of high-input and low-output impedance. In order for active filters to be more functional, the parameters of the resistors and capacitors in the circuit must be at optimum values. Therefore, the active filter is discussed in this study. In this study, the tree seed algorithm (TSA), a plant-based optimization algorithm, is used to optimize the parameters of filters with tenth-order Butterworth and Bessel topology. In order to improve the performance of the TSA for filter parameter optimization, opposition-based learning (OBL) is added to TSA to form an improved TSA (I-TSA). The results obtained are compared with both basic TSA and some algorithms. The experimental results show that the I-TSA method is applicable to this problem by performing a successful prediction process.https://www.mdpi.com/2313-7673/8/7/540tree seed algorithm (TSA)Butterworth filterBessel filterParameter extractionoptimization |
| spellingShingle | Mehmet Beşkirli Mustafa Servet Kiran Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm Biomimetics tree seed algorithm (TSA) Butterworth filter Bessel filter Parameter extraction optimization |
| title | Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm |
| title_full | Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm |
| title_fullStr | Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm |
| title_full_unstemmed | Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm |
| title_short | Optimization of Butterworth and Bessel Filter Parameters with Improved Tree-Seed Algorithm |
| title_sort | optimization of butterworth and bessel filter parameters with improved tree seed algorithm |
| topic | tree seed algorithm (TSA) Butterworth filter Bessel filter Parameter extraction optimization |
| url | https://www.mdpi.com/2313-7673/8/7/540 |
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