124 citations · 132 across the 4 of their papers we have counts for
4 papers
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
Zeyi Wang, Songbai Liu, Jianyong Chen +1
Evolutionary algorithms excel in solving complex optimization problems, especially those with multiple objectives. However, their stochastic nature can sometimes hinder rapid conve…
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
Yinglan Feng, Liang Feng, Songbai Liu +2
Evolutionary Multitasking (EMT) paradigm, an emerging research topic in evolutionary computation, has been successfully applied in solving high-dimensional feature selection (FS) p…
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…
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…