DLEA: A dynamic learning evolution algorithm for many-objective optimization G Li, GG Wang, J Dong, WC Yeh, K Li Information Sciences 574, 567-589, 2021 | 45 | 2021 |
A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization G Li, GG Wang, RB Xiao Information Sciences 615, 323-347, 2022 | 20 | 2022 |
Two-population coevolutionary algorithm with dynamic learning strategy for many-objective optimization G Li, GG Wang, S Wang Mathematics 9 (4), 420, 2021 | 14 | 2021 |
Research progress and prospect of evolutionary many-objective optimization R Xiao, G Li, Z Chen Control and Decision-控 制 与 决 策, 1-28, 2023 | 8 | 2023 |
进化超多目标优化研究进展及展望 肖人彬, 李贵, 陈峙臻 控制与决策 38 (7), 1761-1788, 2023 | 4 | 2023 |
Using an Improved Dynamic Learning Evolutionary Algorithm to Solve Many-objective Service Resource Combination Optimization Problem in Crowdsourcing Design G Li, R Xiao 36th Chinese Control and Decision Conference (CCDC), 2024 | 1 | 2024 |
Correlation-aware constrained many-objective service composition in crowdsourcing design G Li, R Xiao Advanced Engineering Informatics 65, 103173, 2025 | | 2025 |
A coevolutionary algorithm using multi-operator ensemble for many-objective optimisation problems D Zhu, R Xiao, G Li, Y Ma, M Yi International Journal of Bio-Inspired Computation 24 (3), 191-200, 2024 | | 2024 |