Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Parametric Optimization of Hall Effect Using Flower Pollination Algorithm and Cuckoo Search Optimization Techniques

Authors
Dipankar Saha1, *, Nilanjan Mukhopadhyay1, Saswati Dey1, Amit Kumar Das2, Pradip Deb3, Shreya Dhar1
1Department of Electronics & Communication Engineering, Global Institute of Management & Technology, Krishnagar, West Bengal, India, 741102
2Department of Applied Science and Humanities, Global Institute of Management & Technology, Krishnagar, West Bengal, India, 741102
3Department of Bachelor of Computer Applications, Global Institute of Management & Technology, Krishnagar, West Bengal, India, 741102
*Corresponding author. Email: dipankar.hetc@gmail.com
Corresponding Author
Dipankar Saha
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_11How to use a DOI?
Keywords
Hall Coefficient; FPA; CSO; Optimization; RMSE
Abstract

Developing a precise model for Hall effect using experimental statistics is crucial for managing, simulating, and optimizing Hall coefficient of Hall effect devices. In this work, two powerful optimization techniques such as Flower Pollination Algorithm (FPA) and Cuckoo Search Optimization (CSO) are utilized to estimate Hall co-efficient of Hall effect study. Additionally, accurately anticipate the Hall effect’s I-V characteristics validating the suggested approach. Three criteria were selected in order to conduct a comparison analysis between these two algorithms, specifically: RMSE, convergence speed, and computation time. Based on the results, it was determined that FPA performed unparalleled with regard to less computing time, convergence speed, and least RMSE.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_11How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dipankar Saha
AU  - Nilanjan Mukhopadhyay
AU  - Saswati Dey
AU  - Amit Kumar Das
AU  - Pradip Deb
AU  - Shreya Dhar
PY  - 2025
DA  - 2025/05/26
TI  - Parametric Optimization of Hall Effect Using Flower Pollination Algorithm and Cuckoo Search Optimization Techniques
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 125
EP  - 135
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_11
DO  - 10.2991/978-94-6463-716-8_11
ID  - Saha2025
ER  -