| Multi-objective particle swarm optimization based on global margin ranking L Li, W Wang, X Xu Information Sciences 375, 30-47, 2017 | 77 | 2017 |
| On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm L Li, GG Yen, A Sahoo, L Chang, T Gu Information Sciences 563, 375-400, 2021 | 59 | 2021 |
| Opposition-based multi-objective whale optimization algorithm with global grid ranking WL Wang, WK Li, Z Wang, L Li Neurocomputing 341, 41-59, 2019 | 55 | 2019 |
| Optimization of water resources utilization by multi-objective moth-flame algorithm WK Li, WL Wang, L Li Water Resources Management 32, 3303-3316, 2018 | 53 | 2018 |
| On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization L Li, L Chang, T Gu, W Sheng, W Wang IEEE transactions on Cybernetics 51 (4), 2055-2067, 2021 | 39 | 2021 |
| A many-objective particle swarm optimization with grid dominance ranking and clustering L Li, G Li, L Chang Applied Soft Computing 96, 106661, 2020 | 35 | 2020 |
| An Improved Decomposition-Based Multi-objective Evolutionary Algorithm with a better Balance of Convergence and Diversity YSLLWZLW Wang Wanliang Applied Soft Computing 57, 627--641, 2017 | 35 | 2017 |
| Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy W Wang, G Li, Y Wang, F Wu, W Zhang, L Li Swarm and Evolutionary Computation 68, 100976, 2022 | 25 | 2022 |
| A novel ranking-based optimal guides selection strategy in MOPSO L Li, W Wang, W Li, X Xu, Y Zhao Procedia Computer Science 91, 1001-1010, 2016 | 22 | 2016 |
| Hybrid discrete differential evolution algorithm for lot splitting with capacity constraints in flexible job scheduling X Xu, L Li, L Fan, J Zhang, X Yang, W Wang Mathematical Problems in Engineering 2013, 2013 | 17 | 2013 |
| A decomposition-based multi-objective Jaya algorithm for lot-streaming job shop scheduling with variable sublots and intermingling setting F Xie, L Li, L Li, Y Huang, Z He Expert Systems with Applications 228, 120402, 2023 | 9 | 2023 |
| A novel evolutionary algorithm with Pareto front adaption for many-objective optimization L Li, A Sahoo, L Chang 2020 American Control Conference (ACC), 3607-3612, 2020 | 7 | 2020 |
| 约束进化算法及其应用研究综述 李笠， 李广鹏， 常亮， 古天龙 计算机科学 48 (4), 1-13, 2021 | 6 | 2021 |
| A multi-objective evolutionary algorithm based on R2 indicator for pickup and delivery problem with time windows L Li, A Sahoo, L Chang 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1315-1320, 2020 | 5 | 2020 |
| Research on hydropower station optimal scheduling considering ecological water demand W Wang, L Li, X Xu, X Cheng, Y Zhao 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2013 | 5 | 2013 |
| 基于网格排序的多目标粒子群优化算法 李笠， 王万良， 徐新黎， 李伟琨 计算机研究与发展 54 (5), 1012-1023, 2017 | 4 | 2017 |
| 混联水库群分时电价下优化调度模型研究 徐新黎， 杨丹， 王万良， 李笠 浙江工业大学学报 43 (4), 431-437, 2015 | 4 | 2015 |
| Multi-owner scheduling for cascade hydro power using multi-objective optimization technique L Li, L Chang, P Liu, B Yu 2018 Eighth International Conference on Information Science and Technology …, 2018 | 3 | 2018 |
| Nonlinear learning method for local causal structures X Wu, Y Zhong, Z Ling, J Yang, L Li, W Sheng, B Jiang Information Sciences 654, 119789, 2024 | 2 | 2024 |
| On self-adaptive stochastic ranking in decomposition many-objective evolutionary optimization L Li, G Li, L Chang Neurocomputing 489, 547-557, 2022 | 2 | 2022 |
Avimanyu SahooUniversity of Alabama in Huntsville (UAH)Email verificata su uah.edu
