Work

Grasshopper Optimization Algorithm (goa): a Novel Algorithm or a Variant of Pso?

Year: 2024

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17276856

Authors: Harandi, Negin, Van Messem, Arnout, De Neve, Wesley, Vankerschaver, Joris

Institutions: Ghent University, Ghent University Global Campus, University of Liège

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7084767437

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