Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops
Author:
Funder
NSAF Joint Fund
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02463-7.pdf
Reference50 articles.
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3. Chai, Z. Y., Yuan, D., & Li, Y. L. (2023). Multiobjective optimization-based task offloading combined with power and resource allocation in mobile edge computing. IEEE Systems Journal, 17(4), 5738–5749. https://doi.org/10.1109/Jsyst.2023.3296988
4. Choong, S. S., Wong, L. P., & Lim, C. P. (2018). Automatic design of hyper-heuristic based on reinforcement learning. Information Sciences, 436, 89–107. https://doi.org/10.1016/j.ins.2018.01.005
5. Drake, J. H., Kheiri, A., Özcan, E., & Burke, E. K. (2020). Recent advances in selection hyper-heuristics. European Journal of Operational Research, 285(2), 405–428. https://doi.org/10.1016/j.ejor.2019.07.073
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