Optimization of two-stage DTMOS operational transconductance amplifier with Firefly algorithm Article Swipe
Udari Gnaneshwara Chary
,
Swathi Mummadi
,
Kakarla Hari Kishore
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v16.i3.pp1417-1428
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v16.i3.pp1417-1428
This paper presents a methodology for optimizing dynamic threshold MOSFET (DTMOS) two-stage operational transconductance amplifiers (OTAs) tailored for biomedical applications through the utilization of the Firefly algorithm. The optimization process focuses on enhancing key performance metrics such as gain, bandwidth, and power efficiency, which are critical for biomedical signal processing, neural interfaces, and wearable healthcare devices. The methodology encompasses circuit architecture definition, Firefly algorithm implementation, fitness evaluation, and result analysis. The optimization results reveal a significant enhancement in performance metrics. Specifically, the number of transistors in the design is 25. The initial overall gain was 76.65 V/V, with a power efficiency (µ) of 1.6. After optimization, the overall gain was significantly improved to 84.029 dB using the Firefly algorithm, demonstrating superior performance compared to existing algorithms. The power efficiency (µ) was also enhanced to 1.702, underscoring the efficiency improvements achieved through optimization. Simulation results and statistical analysis confirm that the Firefly algorithm effectively achieves optimal configurations, improving the robustness of OTA designs against parameter variations. These enhancements validate the algorithm's efficacy in addressing power-performance trade-offs and its suitability for diverse biomedical applications. Physical prototyping of the optimized design further demonstrates real-world functionality, underscoring its practical applicability.
Related Topics
Concepts
Transconductance
Firefly algorithm
Operational transconductance amplifier
Stage (stratigraphy)
Computer science
Amplifier
Electronic engineering
Operational amplifier
Algorithm
Electrical engineering
Engineering
Telecommunications
Biology
Voltage
Transistor
Bandwidth (computing)
Particle swarm optimization
Paleontology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijpeds.v16.i3.pp1417-1428
- https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/23989/14982
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413960925
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413960925Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/ijpeds.v16.i3.pp1417-1428Digital Object Identifier
- Title
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Optimization of two-stage DTMOS operational transconductance amplifier with Firefly algorithmWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-09-01Full publication date if available
- Authors
-
Udari Gnaneshwara Chary, Swathi Mummadi, Kakarla Hari KishoreList of authors in order
- Landing page
-
https://doi.org/10.11591/ijpeds.v16.i3.pp1417-1428Publisher landing page
- PDF URL
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https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/23989/14982Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/23989/14982Direct OA link when available
- Concepts
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Transconductance, Firefly algorithm, Operational transconductance amplifier, Stage (stratigraphy), Computer science, Amplifier, Electronic engineering, Operational amplifier, Algorithm, Electrical engineering, Engineering, Telecommunications, Biology, Voltage, Transistor, Bandwidth (computing), Particle swarm optimization, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.reveal | 73 |
| abstract_inverted_index.signal | 48 |
| abstract_inverted_index.(DTMOS) | 10 |
| abstract_inverted_index.Firefly | 25, 62, 117, 150 |
| abstract_inverted_index.against | 162 |
| abstract_inverted_index.circuit | 59 |
| abstract_inverted_index.confirm | 147 |
| abstract_inverted_index.designs | 161 |
| abstract_inverted_index.diverse | 179 |
| abstract_inverted_index.dynamic | 7 |
| abstract_inverted_index.fitness | 65 |
| abstract_inverted_index.focuses | 30 |
| abstract_inverted_index.further | 188 |
| abstract_inverted_index.initial | 91 |
| abstract_inverted_index.metrics | 35 |
| abstract_inverted_index.optimal | 154 |
| abstract_inverted_index.overall | 92, 107 |
| abstract_inverted_index.process | 29 |
| abstract_inverted_index.results | 72, 143 |
| abstract_inverted_index.through | 20, 140 |
| abstract_inverted_index.Physical | 182 |
| abstract_inverted_index.achieved | 139 |
| abstract_inverted_index.achieves | 153 |
| abstract_inverted_index.analysis | 146 |
| abstract_inverted_index.compared | 122 |
| abstract_inverted_index.critical | 45 |
| abstract_inverted_index.devices. | 55 |
| abstract_inverted_index.efficacy | 170 |
| abstract_inverted_index.enhanced | 132 |
| abstract_inverted_index.existing | 124 |
| abstract_inverted_index.improved | 111 |
| abstract_inverted_index.metrics. | 79 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.superior | 120 |
| abstract_inverted_index.tailored | 16 |
| abstract_inverted_index.validate | 167 |
| abstract_inverted_index.wearable | 53 |
| abstract_inverted_index.algorithm | 63, 151 |
| abstract_inverted_index.analysis. | 69 |
| abstract_inverted_index.enhancing | 32 |
| abstract_inverted_index.improving | 156 |
| abstract_inverted_index.optimized | 186 |
| abstract_inverted_index.parameter | 163 |
| abstract_inverted_index.practical | 194 |
| abstract_inverted_index.threshold | 8 |
| abstract_inverted_index.two-stage | 11 |
| abstract_inverted_index.Simulation | 142 |
| abstract_inverted_index.addressing | 172 |
| abstract_inverted_index.algorithm, | 118 |
| abstract_inverted_index.algorithm. | 26 |
| abstract_inverted_index.amplifiers | 14 |
| abstract_inverted_index.bandwidth, | 39 |
| abstract_inverted_index.biomedical | 18, 47, 180 |
| abstract_inverted_index.efficiency | 100, 128, 137 |
| abstract_inverted_index.healthcare | 54 |
| abstract_inverted_index.optimizing | 6 |
| abstract_inverted_index.real-world | 190 |
| abstract_inverted_index.robustness | 158 |
| abstract_inverted_index.trade-offs | 174 |
| abstract_inverted_index.algorithm's | 169 |
| abstract_inverted_index.algorithms. | 125 |
| abstract_inverted_index.definition, | 61 |
| abstract_inverted_index.effectively | 152 |
| abstract_inverted_index.efficiency, | 42 |
| abstract_inverted_index.encompasses | 58 |
| abstract_inverted_index.enhancement | 76 |
| abstract_inverted_index.evaluation, | 66 |
| abstract_inverted_index.interfaces, | 51 |
| abstract_inverted_index.methodology | 4, 57 |
| abstract_inverted_index.operational | 12 |
| abstract_inverted_index.performance | 34, 78, 121 |
| abstract_inverted_index.processing, | 49 |
| abstract_inverted_index.prototyping | 183 |
| abstract_inverted_index.significant | 75 |
| abstract_inverted_index.statistical | 145 |
| abstract_inverted_index.suitability | 177 |
| abstract_inverted_index.transistors | 84 |
| abstract_inverted_index.utilization | 22 |
| abstract_inverted_index.variations. | 164 |
| abstract_inverted_index.applications | 19 |
| abstract_inverted_index.architecture | 60 |
| abstract_inverted_index.demonstrates | 189 |
| abstract_inverted_index.enhancements | 166 |
| abstract_inverted_index.improvements | 138 |
| abstract_inverted_index.optimization | 28, 71 |
| abstract_inverted_index.underscoring | 135, 192 |
| abstract_inverted_index.Specifically, | 80 |
| abstract_inverted_index.applications. | 181 |
| abstract_inverted_index.demonstrating | 119 |
| abstract_inverted_index.optimization, | 105 |
| abstract_inverted_index.optimization. | 141 |
| abstract_inverted_index.significantly | 110 |
| abstract_inverted_index.applicability. | 195 |
| abstract_inverted_index.functionality, | 191 |
| abstract_inverted_index.configurations, | 155 |
| abstract_inverted_index.implementation, | 64 |
| abstract_inverted_index.transconductance | 13 |
| abstract_inverted_index.power-performance | 173 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.40959903 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |