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Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System
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Simon Colreavy-Donnely ,
Fabio Caraffini
Applied Sciences, Volume: 12, Issue: 15, Start page: 7827
Swansea University Author:
Fabio Caraffini
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© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
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DOI (Published version): 10.3390/app12157827
Abstract
We demonstrate that particle swarm optimisation (PSO) can be used to solve a variety of problems arising during operation of a digital inspection microscope. This is a use case for the feasibility of heuristics in a real-world product. We show solutions to four measurement problems, all based on PSO...
| Published in: | Applied Sciences |
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| ISSN: | 2076-3417 |
| Published: |
MDPI AG
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60897 |
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| Abstract: |
We demonstrate that particle swarm optimisation (PSO) can be used to solve a variety of problems arising during operation of a digital inspection microscope. This is a use case for the feasibility of heuristics in a real-world product. We show solutions to four measurement problems, all based on PSO. This allows for a compact software implementation solving different problems. We have found that PSO can solve a variety of problems with small software footprints and good results in a real-world embedded system. Notably, in the microscope application, this eliminates the need to return the device to the factory for calibration. |
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| Keywords: |
digital microscope; inspection system; metrology; particle swarm optimisation; heuristics; image stitching |
| College: |
Faculty of Science and Engineering |
| Funders: |
This research received no external funding. |
| Issue: |
15 |
| Start Page: |
7827 |