An algorithm with harmonious blending of distributed swarm intelligence and geometric Brownian motion for greener heterogeneous scheduling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-03074-y.pdf
Reference23 articles.
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3. Bohaienko V, Gladky A, Romashchenko M, Matiash T (2021) Identification of fractional water transport model with psi-Caputo derivatives using particle swarm optimization algorithm. Appl Math Comput 390. https://doi.org/10.1016/j.amc.2020.125665
4. Bonyadi MR, Michalewicz Z (2017) Particle swarm optimization for single objective continuous space problems: A review. Evol Comput 25(1):1–54. https://doi.org/10.1162/EVCO_r_00180
5. Chen X, Li K, Xu B, Yang Z (2020) Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem. Knowl-Based Syst 208. https://doi.org/10.1016/j.knosys.2020.106463
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