左兴权（教授）
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- 博士生导师 硕士生导师
- 教师英文名称：Zuo Xingquan
- 电子邮箱：
- 所在单位：计算机学院（国家示范性软件学院）
- 学历：研究生毕业
- 办公地点：科研楼203室
- 性别：男
- 联系方式：010-62281833
- 学位：博士学位
- 在职信息：在职
- 毕业院校：哈尔滨工业大学
- 学科：计算机科学与技术*
- 所属院系：计算机学院（国家示范性软件学院）
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- .Chunlu Wang, Congcong Guo, Xingquan Zuo*, Solving multi-depot electric vehicle scheduling problem by column generation and genetic algorithm, Applied Soft Computing, 2021, 112: 107774.
- .Yun Wang, Xingquan Zuo*. An effective cloud workflow scheduling approach combining PSO and idle time slot-aware rules, IEEE/CAA Journal of Automatica Sinica, 2021, 8(5): 1079-1094.
- .Xing Wan, Xingquan Zuo*, Xinchao Zhao. A surrogate model-based hybrid approach for stochastic robust double row layout problem, Mathematics, 2021, 9(15): 1711.
- .Chunlu Wang, Hongyi Shi, Xingquan Zuo*. A multi-objective genetic algorithm based approach for dynamical bus vehicles scheduling under traffic congestion, Swarm and Evolutionary Computation, 2020, 54: 100667.
- .Xing Wan, Xingquan Zuo*, Feng Song, Solve dynamic overlapping community detection problem by a multiobjective evolutionary algorithm based on decomposition, Swarm and Evolutionary Computation, 2020, 54: 100668.
- .Xingquan Zuo, Bin Li, Xuewen Huang, et al., Optimizing hospital emergency department layout via multiobjective tabu search, IEEE Transactions on Automation Science and Engineering, 2019, 16(3): 1137-1147.
- .Xingquan Zuo, Shubing Gao, Mengchu Zhou et al., A three-stage approach to a multi-row parallel machine layout problem, IEEE Transactions on Automation Science and Engineering, 2019, 16(1): 433-447.
- .Junling Wang(指导的硕士生), Arun Kumar Ranganathan Jagannathan, Xingquan Zuo*, Chase C. Murray, Two-layer simulated annealing and tabu search heuristics for a vehicle routing problem with cross docks and split deliveries, Computers & Industrial Engineering, 2017, 112: 84-98.
- .Xingquan Zuo, Chase Murray, Alice E. Smith. Double bay layout problem. IEEE Transactions on Semiconductor manufacturing, 2016, 29(4): 446-454.
- .Xingquan Zuo, Chase Murray, Alice E. Smith. Sharing clearances to improve machine layout, International Journal of Production Research, 2016, 54(14): 4272-4285.