| Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem L Feng, Y Huang, L Zhou, J Zhong, A Gupta, K Tang, KC Tan IEEE transactions on cybernetics 51 (6), 3143-3156, 2020 | 174 | 2020 |
| Towards faster vehicle routing by transferring knowledge from customer representation L Feng, Y Huang, IW Tsang, A Gupta, K Tang, KC Tan, YS Ong IEEE Transactions on Intelligent Transportation Systems 23 (2), 952-965, 2020 | 44 | 2020 |
| Solving vehicle routing problem by memetic search with evolutionary multitasking Q Shang, Y Huang, Y Wang, M Li, L Feng Memetic Computing 14 (1), 31-44, 2022 | 30 | 2022 |
| How multimodal integration boost the performance of llm for optimization: Case study on capacitated vehicle routing problems Y Huang, W Zhang, L Feng, X Wu, KC Tan arXiv preprint arXiv:2403.01757, 2024 | 14 | 2024 |
| Toward large-scale evolutionary multitasking: A GPU-based paradigm Y Huang, L Feng, AK Qin, M Chen, KC Tan IEEE Transactions on Evolutionary Computation 26 (3), 585-598, 2021 | 14 | 2021 |
| Fast vehicle routing via knowledge transfer in a reproducing kernel Hilbert space Y Huang, L Feng, M Li, Y Wang, Z Zhu, KC Tan IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (9), 5404-5416, 2023 | 11 | 2023 |
| Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization Y Huang, W Zhou, Y Wang, M Li, L Feng, KC Tan IEEE Transactions on Evolutionary Computation 28 (5), 1499-1513, 2023 | 9 | 2023 |
| Autonomous multi-objective optimization using large language model Y Huang, S Wu, W Zhang, J Wu, L Feng, KC Tan arXiv preprint arXiv:2406.08987, 2024 | 5 | 2024 |
| Evolutionary multitasking via artificial neural networks X Chen, Y Huang, W Zhou, L Feng 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 5 | 2021 |
| Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization Q Shang, Y Huang, J Dong, Y Hou, Y Wang, M Li, L Feng Neural Computing and Applications 34 (10), 7673-7689, 2022 | 4 | 2022 |
| Towards next era of multi-objective optimization: Large language models as architects of evolutionary operators Y Huang, S Wu, W Zhang, J Wu, L Feng, KC Tan arXiv e-prints, arXiv: 2406.08987, 2024 | 3 | 2024 |
| A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems Q Shang, M Tan, R Hu, Y Huang, B Qian, L Feng Expert Systems with Applications 260, 125411, 2025 | 2 | 2025 |
| Advancing automated knowledge transfer in evolutionary multitasking via large language models Y Huang, X Lv, S Wu, J Wu, L Feng, KC Tan arXiv preprint arXiv:2409.04270, 2024 | 2 | 2024 |
| Learning to transfer for evolutionary multitasking SH Wu, Y Huang, X Wu, L Feng, ZH Zhan, KC Tan arXiv preprint arXiv:2406.14359, 2024 | 2 | 2024 |
| Unlock the power of algorithm features: A generalization analysis for algorithm selection X Wu, Y Zhong, J Wu, Y Huang, S Wu, KC Tan arXiv preprint arXiv:2405.11349, 2024 | 2 | 2024 |
