Enhancing resource allocation in edge and fog-cloud computing with genetic algorithm and particle swarm optimization

Enhancing resource allocation in edge and fog-cloud computing with genetic algorithm and particle swarm optimization

Evolutionary algorithms have gained significant attention from researchers as effective solutions for various optimization problems. Genetic Algorithm (GA) is widely popular due to its logical approach, broad applicability, and ability to tackle complex issues encountered in engineering systems. How...

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Bibliographic Details
Main Authors: Saad-Eddine Chafi, Younes Balboul, Mohammed Fattah, Said Mazer, Moulhime El Bekkali
Format: Article
Language:English
Published: Tsinghua University Press 2023-12-01
Series:Intelligent and Converged Networks
Subjects:
particle swarm optimization
genetic algorithm
performance evaluation
edge and fog cloud
fogworkflowsim
Online Access:https://www.sciopen.com/article/10.23919/ICN.2023.0022

Internet

https://www.sciopen.com/article/10.23919/ICN.2023.0022

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