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 | 136 | 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 | 32 | 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 | 23 | 2022 |
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, 2023 | 5 | 2023 |
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 |
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 | 2 | 2024 |
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 | 2 | 2022 |