428 citations · 481 across the 10 of their papers we have counts for
10 papers
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
Haokai Hong, Min Jiang, Gary G. Yen
The large-scale multiobjective optimization problem (LSMOP) is characterized by simultaneously optimizing multiple conflicting objectives and involving hundreds of decision variabl…
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
Haokai Hong, Min Jiang, Qiuzhen Lin +1
We define very large-scale multiobjective optimization problems as optimizing multiple objectives (VLSMOPs) with more than 100,000 decision variables. These problems hold substanti…
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection
Lingjie Li, Manlin Xuan, Qiuzhen Lin +3
Recently, evolutionary multitasking (EMT) has been successfully used in the field of high-dimensional classification. However, the generation of multiple tasks in the existing EMT-…
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism
Haokai Hong, Min Jiang, Liang Feng +2
Large-scale multiobjective optimization problems (LSMOPs) refer to optimization problems with multiple conflicting optimization objectives and hundreds or even thousands of decisio…
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…