Applied Sciences (Aug 2022)

Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System

  • Louis Ryan,
  • Stefan Kuhn,
  • Simon Colreavy-Donnely,
  • Fabio Caraffini

DOI
https://doi.org/10.3390/app12157827
Journal volume & issue
Vol. 12, no. 15
p. 7827

Abstract

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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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