|
-
组合优化，0-1整数规划，线性规划，元启发式算法设计，精确算法设计等；
生产运营管理、数据分析、机器学习等；
大规模经典NP-hard问题求解，如背包问题、聚类问题、最大团问题等
- [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 = 4.1).
- [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 = 4.1).
- [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).
- 暂无内容
- [1] 国家自然科学基金青年项目（No. 72201053）: 面向复杂任务的云数据中心资源调度研究，2023.01 - 2025.12，在研，主持
- [2] 辽宁省自然科学基金面上项目（No. 2023MS092）: 自动驾驶应用中基于云-边-端协同的任务调度研究，2023.02 - 2025.02，在研，主持
- [3] 中国博士后科学基金特别资助（No. 2024T170113）:自动驾驶场景下基于车路协同的任务卸载研究，2025.01-2026.12，在研，主持
- [4] 中国博士后科学基金面上项目（No. 2021M700716）: 新冠疫情常态化下集中隔离医学观察点选址决策优化，2022.01 - 2023.12，结题，主持
- [5] 中央高校基本科研业务费（No. N2406012）: 港口群海陆联运下考虑可折叠箱的空箱调运优化, 2024.01-2025.12, 在研，主持