Jiongzhi Zheng
Jiongzhi Zheng
Huazhong University of Science and Techonology
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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
Composite clustering normal distribution transform algorithm
T Liu, J Zheng, Z Wang, Z Huang, Y Chen
International Journal of Advanced Robotic Systems 17 (3), 1729881420912142, 2020
A novel and fine-grained heap randomization allocation strategy for effectively alleviating heap buffer overflow Vulnerabilities
Z Jin, Y Chen, T Liu, K Li, Z Wang, J Zheng
Proceedings of the 2019 4th International Conference on Mathematics and …, 2019
An effective iterated two-stage heuristic algorithm for the multiple Traveling Salesmen Problem
J Zheng, Y Hong, W Xu, W Li, Y Chen
Computers & Operations Research 143, 105772, 2022
Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem
J Zhou, J Zheng, K He
arXiv preprint arXiv:2202.03093, 2022
Farsighted Probabilistic Sampling based Local Search for (Weighted) Partial MaxSAT
J Zheng, J Zhou, K He
arXiv preprint arXiv:2108.09988, 2021
Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
J Zheng, M Chen, J Zhong, K He
arXiv preprint arXiv:2107.06870, 2021
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems
J Zheng, K He, J Zhou, Y Jin, CM Li
arXiv preprint arXiv:2207.03876, 2022
An Efficient Algorithm for the Partitioning Min-Max Weighted Matching Problem
Y Wang, J Xie, J Zheng, K He
arXiv preprint arXiv:2201.10049, 2022
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem
J Zhou, K He, J Zheng, CM Li, Y Liu
arXiv preprint arXiv:2201.06252, 2022
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit
J Zheng, K He, J Zhou, Y Jin, C Li, F Manya
arXiv preprint arXiv:2201.05544, 2022
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