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pro vyhledávání: '"Hu, Weizhen"'
Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to quickly track the Pareto optimal front (POF) when the environment changes. In recent years, ev
Externí odkaz:
http://arxiv.org/abs/2102.12133
Transfer learning techniques have been widely used in the reality that it is difficult to obtain sufficient labeled data in the target domain, but a large amount of auxiliary data can be obtained in the relevant source domain. But most of the existin
Externí odkaz:
http://arxiv.org/abs/1910.08945
Dynamic Multi-objective Optimization Problems (DMOPs) refer to optimization problems that objective functions will change with time. Solving DMOPs implies that the Pareto Optimal Set (POS) at different moments can be accurately found, and this is a v
Externí odkaz:
http://arxiv.org/abs/1910.08747
Dynamic multi-objective optimization problems (DMOPs) remain a challenge to be settled, because of conflicting objective functions change over time. In recent years, transfer learning has been proven to be a kind of effective approach in solving DMOP
Externí odkaz:
http://arxiv.org/abs/1910.08753
The main feature of the Dynamic Multi-objective Optimization Problems (DMOPs) is that optimization objective functions will change with times or environments. One of the promising approaches for solving the DMOPs is reusing the obtained Pareto optima
Externí odkaz:
http://arxiv.org/abs/1910.08751
Autor:
Farooq, Muhammad Ahsan, Islam, Faisal, Ayyaz, Ahsan, Chen, Weiqi, Noor, Yamna, Hu, Weizhen, Hannan, Fakhir, Zhou, Weijun
Publikováno v:
In Environmental Pollution 1 January 2022 292 Part B
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 692-695 (2021)
Over 90% of the COVID-19 patients with computed tomographic (CT) manifestations showed radiological improvement on dissipating stage. Cases with refractory pulmonary infiltration were discussed in this study.
Externí odkaz:
https://doaj.org/article/12ce0c1590ea41dd8c3a10022b6226f7
Optimization of College Students' Employment Prosperity Index System Based on Multiple Logit Models.
Autor:
Xiang, Wei1 (AUTHOR), Hu, Weizhen2 (AUTHOR)
Publikováno v:
Journal of Function Spaces. 7/12/2022, p1-8. 8p.
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