An improved multi-objective evolutionary algorithm for computation offloading in the multi-cloudlet environment

Li LIU, Yuanyuan DU

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PDF(333 KB)
Front. Comput. Sci. ›› 2021, Vol. 15 ›› Issue (5) : 155503. DOI: 10.1007/s11704-020-9346-z
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An improved multi-objective evolutionary algorithm for computation offloading in the multi-cloudlet environment

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Li LIU, Yuanyuan DU. An improved multi-objective evolutionary algorithm for computation offloading in the multi-cloudlet environment. Front. Comput. Sci., 2021, 15(5): 155503 https://doi.org/10.1007/s11704-020-9346-z

References

[1]
Khan A U R, Othman M, Madani S A. A survey of mobile cloud computing application models. IEEE Communications Surveys and Tutorials, 2014, 16(1): 393–413
CrossRef Google scholar
[2]
Sanaei Z, Abolfazli S, Gani A. Heterogeneity in mobile cloud computing: taxonomy and open challenges. IEEE Communications Surveys and Tutorials, 2014, 16(1): 369–392
CrossRef Google scholar
[3]
Zhang W, Guo B, Shen Y. An energy-efficient algorithm for multi-site application partitioning in MCC. Sustainable Computing: Informatics and Systems, 2018, 18: 45–53
CrossRef Google scholar
[4]
Bandyopadhyay S, Saha S. A simulated annealing-based multi-objective optimization algorithm: AMOSA. IEEE Transactions on Evolutionary Computation, 2008, 12(3): 269–283
CrossRef Google scholar
[5]
Deb K, Pratap A, Agarwal S. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182–197
CrossRef Google scholar
[6]
Liu L, Gu S X, Fu D M. A new multi-objective evolutionary algorithm for inter cloud service composition. KSII Transactions on Internet and Information Systems, 2018, 12(1): 1–20
CrossRef Google scholar
[7]
Zhang Q F, Li H. MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Transactions on Evolutionary Computation, 2008, 11(6): 712–731
CrossRef Google scholar
[8]
Li H, Zhang Q F. Multi-objective optimization problems with complicated pareto sets, MOEA/D and NSGA-II. IEEE Transactions on Evolutionary Computation, 2009, 13(2): 284–302
CrossRef Google scholar

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