124 citations · 153 across the 7 of their papers we have counts for
5 papers · 1 filter
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-…
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li +1
Recent decades have witnessed great advancements in multiobjective evolutionary algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these progressively imp…
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…
Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization
Songbai Liu, Qiuzhen Lin, Kay Chen Tan +1
Evolutionary transfer multiobjective optimization (ETMO) has been becoming a hot research topic in the field of evolutionary computation, which is based on the fact that knowledge…