Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications (2022, methodology): “…methods are able to overcome the difﬁculties of deterministic methods and provide appropriate solutions to optimization issues relying on random search in the problem-solving space and without using derivative and gradient information from the objective function of the optimization problem [4].”
Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems (2022, background): “Interestingly, some of them such as Genetic Algorithm [5], particle swarm optimization (PSO) [47], and Archimedes optimization algorithm [15] are fairly well-known among not only computer scientists but also scholars from other domains.”
Prairie Dog Optimization Algorithm (2022, methodology): “One of the most popular algorithms in this category is the simulated annealing; others include the gravitational search algorithm [37], Archimedes optimization algorithm [38], and thermal exchange optimization [39].”
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “c 1 , c 2 , c 3 , and c 4 together control the exploration and exploitation (Hashim et al. 2021).”