Published October 2, 2024 | Version v1

GRASSHOPPER OPTIMIZATION ALGORITHM (GOA): A NOVEL ALGORITHM OR A VARIANT OF PSO?

  • 1. ROR icon Ghent University Global Campus
  • 2. ROR icon Ghent University
  • 3. Université de Liège

Description

In the world of new optimization methods, there is a concern that various methods, despite having different names, are quite similar. This raises a crucial question: Does the introduction of a new source of inspiration justify assigning a new name to an optimization algorithm, especially when its functionality closely mirrors or simplifies an existing, well-known method? We took a closer look at the Grasshopper Optimization Algorithm (GOA), investigating its concepts and comparing them to different versions of Particle Swarm Optimization (PSO). Our findings lead to a noteworthy conclusion: GOA, despite its branding as a novel algorithm, is not a new algorithm, but can be viewed as a derivative of PSO.

Files

ANTS2024 Poster.pdf

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Additional details

Dates

Available
2024-10

Software

Repository URL
https://github.com/negin17h/ANTS2024-Code
Programming language
Python
Development Status
Active

References

  • 10.1016/j.advengsoft.2017.01.004
  • 10.1109/TEVC.2011.2136347
  • 10.1109/TEVC.2004.826074
  • 10.1109/TEVC.2023.3346672