GRASSHOPPER OPTIMIZATION ALGORITHM (GOA): A NOVEL ALGORITHM OR A VARIANT OF PSO?
Authors/Creators
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
Files
(1.8 MB)
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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