On the exploration and exploitation in popular swarm-based metaheuristic algorithms

By Kashif Hussain, M. N. Mohd Salleh, Shi Cheng, Yuhui Shi. Neural computing & applications (Print), 2018

313 citations recorded by the source corpus.

How researchers see this paper

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Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems (2022, background): “The important factor in maintaining balance between the two contradictory capabilities is to ensure right amount of randomness [29].”
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems (2020, methodology): “The efficient search ability of a metaheuristic algorithm heavily relies on two essential foundations: exploration and exploitation [21, 40, 41].”
A comprehensive survey on recent metaheuristics for feature selection (2022, background): “This is an issue that should be well set by the dynamics of the proposed algorithm [99].”
Henry gas solubility optimization: A novel physics-based algorithm (2019, unknown): “Mere investigation and comparison of end results may not reveal the reasons behind poor or good performance [72, 74, 75].”