27 citations · 37 across the 5 of their papers we have counts for
4 papers · 1 filter
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model
Haokai Hong, Kai Ye, Min Jiang +2
The main feature of large-scale multi-objective optimization problems (LSMOP) is to optimize multiple conflicting objectives while considering thousands of decision variables at th…
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization
Dejun Xu, Min Jiang, Weizhen Hu +3
Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to quickly track the Pareto…
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
Zhenzhong Wang, Haokai Hong, Kai Ye +2
Large-scale multiobjective optimization problems (LSMOPs) are characterized as involving hundreds or even thousands of decision variables and multiple conflicting objectives. An ex…
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…