Combining reinforcement learning with Lin-Kernighan-Helsgaun algorithm for the traveling salesman problem J Zheng, K He, J Zhou, Y Jin, CM Li Proceedings of the AAAI conference on artificial intelligence 35 (14), 12445 …, 2021 | 66 | 2021 |
A memetic algorithm for the minimum sum coloring problem Y Jin, JK Hao, JP Hamiez Computers & Operations Research 43, 318-327, 2014 | 63 | 2014 |
General swap-based multiple neighborhood tabu search for the maximum independent set problem Y Jin, JK Hao Engineering Applications of Artificial Intelligence 37, 20-33, 2015 | 62 | 2015 |
An efficient deterministic heuristic for two-dimensional rectangular packing K He, W Huang, Y Jin Computers & Operations Research 39 (7), 1355-1363, 2012 | 60 | 2012 |
Hybrid evolutionary search for the minimum sum coloring problem of graphs Y Jin, JK Hao Information Sciences 352, 15-34, 2016 | 53 | 2016 |
Algorithms for the minimum sum coloring problem: a review Y Jin, JP Hamiez, JK Hao Artificial Intelligence Review 47, 367-394, 2017 | 52 | 2017 |
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee Y Zhou, J Xu, Z Guo, M Xiao, Y Jin Proceedings of the AAAI conference on Artificial Intelligence 34 (03), 2442-2449, 2020 | 37 | 2020 |
Heuristics for two-dimensional strip packing problem with 90 rotations K He, Y Jin, W Huang Expert Systems with Applications 40 (14), 5542-5550, 2013 | 31 | 2013 |
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem X Pan, Y Jin, Y Ding, M Feng, L Zhao, L Song, J Bian The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) 37 …, 2023 | 27 | 2023 |
Reinforced Lin–Kernighan–Helsgaun algorithms for the traveling salesman problems J Zheng, K He, J Zhou, Y Jin, CM Li Knowledge-Based Systems 260, 110144, 2023 | 23 | 2023 |
Solving the Latin square completion problem by memetic graph coloring Y Jin, JK Hao IEEE Transactions on Evolutionary Computation 23 (6), 1015-1028, 2019 | 23 | 2019 |
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem Y Jin, Y Ding, X Pan, K He, L Zhao, T Qin, L Song, J Bian The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) 37 …, 2023 | 22 | 2023 |
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit FM Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li Proceedings of the International Joint Conference on Artificial Intelligence …, 2022 | 17* | 2022 |
On fast enumeration of maximal cliques in large graphs Y Jin, B Xiong, K He, Y Zhou, Y Zhou Expert Systems with Applications 187, 115915, 2022 | 16 | 2022 |
An iterative merging algorithm for soft rectangle packing and its extension for application of fixed-outline floorplanning of soft modules P Ji, K He, Y Jin, H Lan, C Li Computers & Operations Research 86, 110-123, 2017 | 13 | 2017 |
Effective learning-based hybrid search for bandwidth coloring Y Jin, JK Hao IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (4), 624-635, 2014 | 13 | 2014 |
基于动作空间求解二维矩形 Packing 问题的高效算法 何琨, 黄文奇, 金燕 软件学报 23 (5), 1037-1044, 2012 | 12 | 2012 |
Multi-agent reinforcement learning with shared resources for inventory management Y Ding, M Feng, G Liu, W Jiang, C Zhang, L Zhao, L Song, H Li, Y Jin, ... arXiv preprint arXiv:2212.07684, 2022 | 11 | 2022 |
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs Y Zhou, Z Wang, Y Jin, ZH Fu Knowledge-Based Systems 211, 106562, 2021 | 11 | 2021 |
Minimum sum coloring for large graphs with extraction and backward expansion search Q Wu, Q Zhou, Y Jin, JK Hao Applied Soft Computing 62, 1056-1065, 2018 | 9 | 2018 |