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2020 – today
- 2024
[j24]Xiangjing Lai
, Jin-Kao Hao, Renbin Xiao, Zhang-Hua Fu:
Global optimization and structural analysis of Coulomb and logarithmic potentials on the unit sphere using a population-based heuristic approach. Expert Syst. Appl. 238(Part A): 121704 (2024)- [j23]Yangming Zhou, Wenqiang Xu, Mengchu Zhou, Zhang-Hua Fu:
Bi-Trajectory Hybrid Search to Solve Bottleneck-Minimized Colored Traveling Salesman Problems. IEEE Trans Autom. Sci. Eng. 21(1): 895-905 (2024) - 2023
- [j22]Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
An effective hybrid search algorithm for the multiple traveling repairman problem with profits. Eur. J. Oper. Res. 304(2): 381-394 (2023) - [j21]Shan Hu, Yi Zhou, Mingyu Xiao, Zhang-Hua Fu, Zhipeng Lü:
Listing maximal k-relaxed-vertex connected components from large graphs. Inf. Sci. 620: 67-83 (2023) - [j20]Hua Jiang, Ke Bai, Hai-Jiao Liu, Chu-Min Li, Felip Manyà, Zhang-Hua Fu:
Parallel Bounded Search for the Maximum Clique Problem. J. Comput. Sci. Technol. 38(5): 1187-1202 (2023) - [i6]Zhang-Hua Fu, Sipeng Sun, Jintong Ren, Tianshu Yu, Haoyu Zhang, Yuanyuan Liu, Lingxiao Huang, Xiang Yan, Pinyan Lu:
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem. CoRR abs/2308.04639 (2023) - 2022
- [j19]Xiangjing Lai, Jin-Kao Hao, Dong Yue, Zhipeng Lü, Zhang-Hua Fu:
Iterated dynamic thresholding search for packing equal circles into a circular container. Eur. J. Oper. Res. 299(1): 137-153 (2022) - [j18]Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
Intensification-driven local search for the traveling repairman problem with profits. Expert Syst. Appl. 202: 117072 (2022) - [j17]Yiyao Zhu, Yongquan Chen, Zhang-Hua Fu:
Knowledge-guided two-stage memetic search for the pickup and delivery traveling salesman problem with FIFO loading. Knowl. Based Syst. 242: 108332 (2022) - [j16]Yan Jin, Bowen Xiong, Kun He, Jin-Kao Hao, Chu-Min Li, Zhang-Hua Fu:
Clustering Driven Iterated Hybrid Search for Vertex Bisection Minimization. IEEE Trans. Computers 71(10): 2370-2380 (2022) - [j15]Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, MengChu Zhou:
Multi-Neighborhood Simulated Annealing-Based Iterated Local Search for Colored Traveling Salesman Problems. IEEE Trans. Intell. Transp. Syst. 23(9): 16072-16082 (2022) - [c12]Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen:
A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. CIKM 2022: 3524-3533 - [c11]Shiqing Fu, Jian Li, Zhang-Hua Fu:
Cooperatively Scheduling Hundreds of Fetch and Freight Robots in an Autonomous Warehouse. RCAR 2022: 469-474 - 2021
- [j14]Xiangjing Lai, Jin-Kao Hao, Zhang-Hua Fu, Dong Yue:
Neighborhood decomposition-driven variable neighborhood search for capacitated clustering. Comput. Oper. Res. 134: 105362 (2021) - [j13]Xiangjing Lai, Jin-Kao Hao, Zhang-Hua Fu, Dong Yue:
Neighborhood decomposition based variable neighborhood search and tabu search for maximally diverse grouping. Eur. J. Oper. Res. 289(3): 1067-1086 (2021) - [j12]Yuanyuan Liu, Jiyao Peng, Jing-Hao Xue, Yongquan Chen, Zhang-Hua Fu:
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild. Neurocomputing 447: 10-22 (2021) - [j11]Yangming Zhou, Zhe Wang, Yan Jin, Zhang-Hua Fu:
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs. Knowl. Based Syst. 211: 106562 (2021) - [j10]Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. IEEE Trans. Evol. Comput. 25(1): 187-200 (2021) - [c10]Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia:
Knowledge Refinery: Learning from Decoupled Label. AAAI 2021: 7228-7235 - [c9]Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. AAAI 2021: 7474-7482 - [c8]Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu:
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding. AAAI 2021: 12453-12460 - [c7]Yangming Zhou, Wenqiang Xu, Zhang-Hua Fu, Mengchu Zhou:
Solving Colored Traveling Salesman Problem via Multi-neighborhood Simulated Annealing Search. ICNSC 2021: 1-6 - [c6]Lianxin Zhang, Zhang-Hua Fu, Hengli Liu, Qingquan Liu, Xiaoqiang Ji, Huihuan Qian:
An Efficient Parallel Self-assembly Planning Algorithm for Modular Robots in Environments with Obstacles. ICRA 2021: 10038-10044 - [c5]Hua Jiang, Dongming Zhu, Zhichao Xie, Shaowen Yao, Zhang-Hua Fu:
A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem. IJCAI 2021: 1689-1696 - [i5]Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
An effective hybrid search algorithm for the multiple traveling repairman problem with profits. CoRR abs/2111.05017 (2021) - [i4]Xuwei Tan, Yangming Zhou, Zhang-Hua Fu, Mengchu Zhou:
Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems. CoRR abs/2112.03404 (2021) - 2020
- [j9]Xiangjing Lai, Jin-Kao Hao, Zhang-Hua Fu, Dong Yue:
Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem. Expert Syst. Appl. 149: 113310 (2020) - [j8]Wei Li, Xiang Meng, Ying Huang, Zhang-Hua Fu:
Multipopulation cooperative particle swarm optimization with a mixed mutation strategy. Inf. Sci. 529: 179-196 (2020) - [c4]Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang:
Communicative Representation Learning on Attributed Molecular Graphs. IJCAI 2020: 2831-2838 - [i3]Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. CoRR abs/2012.10658 (2020)
2010 – 2019
- 2019
- [j7]Zhang-Hua Fu, Si-Bo Chen, Yi-Fei Ming, Yong-Quan Chen, Xiangjing Lai:
Dynamically Reconstructing Minimum Spanning Trees After Swapping Pairwise Vertices. IEEE Access 7: 16351-16363 (2019) - [j6]Xiangjing Lai, Zhang-Hua Fu:
A Tabu Search Approach With Dynamical Neighborhood Size for Solving the Maximum Min-Sum Dispersion Problem. IEEE Access 7: 181357-181368 (2019) - [c3]Hong Li, Si-Yang Liu, Yan-Wei Huang, Yong-Quan Chen, Zhang-Hua Fu:
An Efficient 2-opt Operator for the Robotic Task Sequencing Problem. RCAR 2019: 124-129 - [i2]Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai:
Variable Population Memetic Search: A Case Study on the Critical Node Problem. CoRR abs/1909.08691 (2019) - 2018
- [c2]Yi-Fei Ming, Si-Bo Chen, Yong-Quan Chen, Zhang-Hua Fu:
A Fast Vertex-Swap Operator for the Prize-Collecting Steiner Tree Problem. ICCS (2) 2018: 553-560 - [c1]Yan-Wei Huang, Chong-Feng Liu, Su-Feng Hu, Zhang-Hua Fu, Yong-Quan Chen:
Dynamic Task Sequencing of Manipulator by Monte Carlo Tree Search. ROBIO 2018: 569-574 - 2017
- [j5]Zhang-Hua Fu, Jin-Kao Hao:
Knowledge-guided local search for the prize-collecting Steiner tree problem in graphs. Knowl. Based Syst. 128: 78-92 (2017) - [j4]Zhang-Hua Fu, Jin-Kao Hao:
Swap-vertex based neighborhood for Steiner tree problems. Math. Program. Comput. 9(2): 297-320 (2017) - 2015
- [j3]Zhang-Hua Fu, Jin-Kao Hao:
A three-phase search approach for the quadratic minimum spanning tree problem. Eng. Appl. Artif. Intell. 46: 113-130 (2015) - [j2]Zhang-Hua Fu, Jin-Kao Hao:
Dynamic Programming Driven Memetic Search for the Steiner Tree Problem with Revenues, Budget, and Hop Constraints. INFORMS J. Comput. 27(2): 221-237 (2015) - 2014
- [j1]Zhang-Hua Fu, Jin-Kao Hao:
Breakout local search for the Steiner tree problem with revenue, budget and hop constraints. Eur. J. Oper. Res. 232(1): 209-220 (2014) - [i1]Zhang-Hua Fu, Jin-Kao Hao:
A Three-Phase Search Approach for the Quadratic Minimum Spanning Tree Problem. CoRR abs/1402.1379 (2014)
Coauthor Index
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