21 citations · 31 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.AI2019★ 21 cited
Solving dynamic multi-objective optimization problems via support vector machine
Min Jiang, Weizhen Hu, Liming Qiu +2
Dynamic Multi-objective Optimization Problems (DMOPs) refer to optimization problems that objective functions will change with time. Solving DMOPs implies that the Pareto Optimal S…