Mobile traffic flow prediction using intelligent whale optimization algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10515-022-00349-7.pdf
Reference26 articles.
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2. Adnan, R.M., Liang, Z., Heddam, S., Zounemat-Kermani, M., Kisi, O., Li, B.: Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs. J. Hydrol. 586, 124371 (2020). https://doi.org/10.1016/j.jhydrol.2019.124371
3. Alsattar, H.A., Zaidan, A.A., Zaidan, B.B.: Novel meta-heuristic bald eagle search optimisation algorithm. Artif. Intell. Rev. (2020). https://doi.org/10.1007/s10462-019-09732-5
4. Anita, Yadav, A.: Aefa: artificial electric field algorithm for global optimization. Swarm Evol. Comput. (2019). https://doi.org/10.1016/j.swevo.2019.03.013
5. Anupriya, Singhrova: Enhanced whale optimization based traffic forecasting for SDMN based traffic. ICT Express 7(2), 143–151 (2021). https://doi.org/10.1016/j.icte.2021.05.005
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1. Traffic Carrying and Delay Response Scheduling Algorithm for Distributed E- commerce Platforms;2024-07-26
2. Smooth Exploration System: A novel ease-of-use and specialized module for improving exploration of whale optimization algorithm;Knowledge-Based Systems;2023-07
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