27 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.NE2019★ 9 cited
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning
Zhenzhong Wang, Min Jiang, Xing Gao +3
Dynamic multi-objective optimization problems (DMOPs) remain a challenge to be settled, because of conflicting objective functions change over time. In recent years, transfer learn…
cs.LG2019★ 1 cited
Online Bagging for Anytime Transfer Learning
Guokun Chi, Min Jiang, Xing Gao +3
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…
cs.NE2019★ 27 cited
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine
Weizhen Hu, Min Jiang, Xing Gao +2
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…