Multi-Objective Dynamic Optimization is a multi-objective optimization framework that addresses problems involving multiple conflicting objectives which evolve over time due to dynamic environmental changes, thereby requiring adaptive solutions that maintain optimality and diversity across shifting Pareto fronts.
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449
Reducing Offloading Latency for Digital Twin Edge Networks in 6G
Wen Sun, Haibin Zhang, Rong Wang et al. · IEEE Transactions on Vehicular Technology · 2020 · 364 citations
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De Montfort University
Leicester, United Kingdom
21 h-index
34 publications
2.2K citations
Xiangtan University
Xiangtan, China
18 h-index
93 publications
5.2K citations
Xidian University
Xi'an, China
17 h-index
61 publications
3K citations
Beijing University of Technology
Beijing, China
12 h-index
37 publications
1.7K citations
Xiamen University
Xiamen, China
11 h-index
29 publications
2.5K citations
City University of Hong Kong
Hong Kong, Hong Kong
10 h-index
11 publications
741 citations
University of Birmingham
Birmingham, United Kingdom
10 h-index
18 publications
899 citations
China University of Mining and Technology
Xuzhou, China
9 h-index
28 publications
1.9K citations
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25 publications · 1.4K citations
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27 publications · 1.6K citations
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29 publications · 1.7K citations
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- Energy
15 publications · 983 citations
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- IEEE Transactions on Evolutionary Computation
13 publications · 2K citations
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