A Comparative Study of Metaheuristics Based Task Scheduling in Cloud Computing
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-18516-8_19
Reference25 articles.
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3. Alyasseri, Z.A.A., Khader, A.T., Al-Betar, M.A., Abasi, A.K., Makhadmeh, S.N.: EEG signals denoising using optimal wavelet transform hybridized with efficient metaheuristic methods. IEEE Access 8, 10584–10605 (2019)
4. Alzaqebah, A., Al-Sayyed, R., Masadeh, R.: Task scheduling based on modified grey wolf optimizer in cloud computing environment. In: 2019 2nd International Conference on New Trends in Computing Sciences (ICTCS), pp. 1–6. IEEE (2019)
5. Attiya, I., Abd Elaziz, M., Xiong, S.: Job scheduling in cloud computing using a modified Harris hawks optimization and simulated annealing algorithm. Comput. Intell. Neurosci. 2020, 1–17 (2020)
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