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个人信息Personal Information
副教授
博士生导师
硕士生导师
教师拼音名称：zhouqing
出生日期：1992-03-01
入职时间：2020-12-24
所在单位：工商管理学院
学历：博士研究生毕业
性别：男
学位：博士
在职信息：在职
毕业院校：华中科技大学
所属院系：工商管理学院
学科：管理科学与工程
企业管理
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- [14] 周清，朱诗雨，曾程宽. 结合变邻域与迭代搜索的混合算法求解厌恶型p-中值问题. 运筹与管理, 2026, accept..
- [13] Dawei Wu, Zhiying Zhang, Qing Zhou*. A frequent pattern mining-based hybrid evolutionary algorithm for the k-clustering minimum biclique completion problem. Computers & Operations Research, 2026, 196: 107642. (ABS 3, FMS B, SCI, IF = 4.6).
- [12] Qing Zhou, Ming Gao, Jin-Kao Hao*. Reinforcement learning driven heuristic for two-dimensional bandwidth minimization. Applied Soft Computing, 2026, 187: 114327. (SCI, IF = 7.8).
- [11] Qing Zhou, Yuru Li, Jin-Kao Hao, Qinghua Wu and Yuning Chen*. A cardinality constrained iterated local search for the virtual machine placement problem. Computers & Operations Research, 2025，184: 107222（ABS 3, FMS B, SCI, IF = 4.6).
- [10] Qing Zhou, Tongtong Zhu, Qinghua Wu; Zhong-Zhong Jiang*; Wenjie Wang. An efficient iterated local search for the minimum quasi-clique partitioning problem. Computers & Operations Research, 2025, 179: 107033. (ABS 3, FMS B, SCI, IF = 4.6).
- [9] Qing Zhou, Jin-Kao Hao, Zhong-Zhong Jiang*, Qinghua Wu. An effective hybrid search method for the quadratic knapsack problem with conflict graphs. Journal of the Operational Research Society, 2024, 75(5), 1000-1010. (ABS 3, SCI/SSCI, IF = 3.051).
- [8] Qing Zhou, Jin-Kao Hao, Zhong-Zhong Jiang*, Qinghua Wu. Adaptive feasible and infeasible evolutionary search for the knapsack problem with forfeits. International Transactions in Operational Research, 2024, 32(3): 1442-1471 (ABS 1, SCI/SSCI, IF = 3.1).
- [7] Qing Zhou, Jin-Kao Hao*, Qinghua Wu. A hybrid evolutionary search for the generalized quadratic multiple knapsack problem. European Journal of Operational Research, 2022, 296(3): 788-803. (ABS 4, SCI, IF = 6.363).
- [6] Qing Zhou, Jin-Kao Hao, Qinghua Wu*. Responsive threshold search based memetic algorithm for balanced minimum sum-of-squares clustering. Information Sciences, 2021, 569: 184-204. (FMS B, SCI, IF = 8.233).
- [5] Qing Zhou, Una Benlic, Qinghua Wu*. An opposition-based memetic algorithm for the maximum quasi clique problem. European Journal of Operational Research, 2020, 286(1): 63-83. (ABS 4, SCI, IF = 6.363).