GRASSHOPPER OPTIMIZATION ALGORITHM (GOA): A NOVEL ALGORITHM OR A VARIANT OF PSO?
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.
Institutions
- University of Liège (BE)
- Ghent University Hospital (BE)
- Ghent University Global Campus (KR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-01
- DOI
- https://doi.org/10.5281/zenodo.17276857
- Primary Topic
- Fungal and yeast genetics research
- Type
- article
- Field-Weighted Citation Impact
- 0.00