李小平-广东工业大学

学科与师资

李小平


所属学院	计算机学院
导师类别	博士生导师、硕士生导师
职　　务	院长
科研方向	调度优化、大数据、云计算、服务计算、智能制造、智能算法、复杂系统集成
个人主页	https://www.scholat.com/xpli
联系方式	xpli@gdut.edu.cn
硕士和博士招生学院	计算机学院
个人简述	李小平，广东工业大学计算机学院院长，国家级高层次人才，教育部新世纪优秀人才，校百人计划特聘教授，二级教授，博士生导师，国家重点研发计划项目首席，CCF杰出会员、IEEE高级会员，CCF协同计算专委副主任，中国仿真学会智能仿真优化与调度专业委员会常务委员。2次入选江苏省“六大人才高峰” 培养对象。主持国家重点研发计划项目2项、国家重点研发计划课题2项、国家863计划1项、国家支撑计划1项、国家自然科学基金7项，参与国家自然基金重点项目1项（合作单位负责人）。在TC、TPDS、TSC、TKDE、TMM、TCYB、TSMC.A、TEVC、TASE、TCC、EJOR、OMEGA等国际国内期刊或国际会议上发表论文100余篇；2022年获江苏省科学技术二等奖；出版专著1部；获国家发明专利10余项；制定国际标准3项。主要研究方向：调度优化、大数据、云计算、服务计算、智能制造、智能算法、复杂系统集成。
教育背景	2009.3-2010.3，National Research Council, Canada，访问学者； 2003.1-2004.12，清华大学，自动化系，博士后； 1999.3-2002.8，哈尔滨工业大学，计算机应用技术专业，获博士学位； 1996.9-1999.3，哈尔滨理工大学，计算机应用技术专业，获硕士学位； 1989.9-1993.7，哈尔滨科技大学，计算机及其应用专业，获学士学位。
工作经历	2023.1-，广东工业大学，计算机应用技术，二级教授，校百人特聘教授，博士生导师； 2009.4- 2024.4，东南大学，计算机应用技术，二级教授，特聘教授，博士生导师； 2007.4-2009.4，东南大学，计算机应用技术，副教授，博士生导师； 2005.2-2007.4，东南大学，计算机应用技术，副教授，硕士生导师； 2003.9-2005.2，哈尔滨理工大学，计算机应用技术，副教授，硕士生导师； 1998.9-2003.8，哈尔滨理工大学，计算机应用技术，讲师； 1993.8-1998.8，哈尔滨理工大学，计算机应用技术，助教。
学术兼职	IEEE高级会员、CCF杰出会员、CCF协同计算专委副主任、中国仿真学会智能仿真优化与调度专委会常务委员
主要荣誉	[1] 2009年入选教育部新世纪优秀人才支持计划 [2] 2019年入选江苏省“六大人才高峰” 培养对象 [3] 2012年入选江苏省“六大人才高峰” 培养对象 [4] 2008年被选为江苏省高校“青蓝工程”优秀青年骨干教师培养对象
主要科教成果	(1)科研奖励 [1] 2022年江苏省科学技术二等奖，跨制造单元调度与配送快速精准优化关键技术及应用（2022-2-49-R1） [2] 2020年公安部科技进步三等奖，公安大数据分析算法体系构建关键技术及应用实现，2020GA3-03（排名第三） [3]黑龙江省科学技术三等奖（自然类），面向单件生产企业的车间调度算法的研究，2003年 (2)专著 [1] 李小平，陈龙. 服务与资源调度，科学出版社，ISBN 978-7-03-069145-3. 2022 (3)科技论文 [1]Shuang Wang, Xiaoping Li, Ruben Ruiz. Performance analysis for heterogeneous cloud servers using queueing theory. IEEE Transactions on Computers, 2020, 69(4): 563-576. (CCF A类) [2]Shuang Wang, Xiaoping Li, Quan Z. Sheng, Ruben Ruiz, Jinquan Zhang, and Amin Beheshti. Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. IEEE Transactions on Parallel and Distributed Systems. 2021, 32(11): 2838-2851. (CCF A类) [3]Jie Zhu, Xiaoping Li, Rubén Ruiz, Wei Li, Haiping Huang, Albert Y. Zomaya. Scheduling Periodical multi-stage jobs with fuzziness to elastic cloud resources. IEEE Transactions on Parallel and Distributed Systems, 2020, 31(12): 2819-2833. (CCF A类) [4]Jie Zhu, Xiaoping Li, Rubén Ruiz, Xiaolong Xu. Scheduling Stochastic Multi-stage Jobs to Elastic Hybrid Cloud Resources. IEEE Transactions on Parallel and Distributed Systems. 2018, 29(6): 1401-1415. (CCF A类) [5]Xinye Cai, Haiyang Xu, Xiaoping Li, Kang Wang, Long Chen, Ruben Ruiz, Qingfu Zhang. A bi-objective learn-and-deploy scheduling method for bursty and stochastic requests on heterogeneous cloud servers. IEEE Transactions on Parallel and Distributed Systems. 2022, 33(12): 4547 - 4562. (CCF A类) [6]Yamin Lei, Zhicheng Cai, Xiaoping Li, Rajkumar Buyya. State Space Model and Queuing Network Based Cloud Resource Provisioning for Meshed Web Systems. IEEE Transactions on Parallel and Distributed Systems. 2022, 33(12): 3787 - 3799. (CCF A类) [7]Xiaoping Li, Lihua Qian, Rubén Ruiz. Cloud workflow scheduling with deadlines and time slot availability. IEEE Transactions on Services Computing. 2018, 11(2): 329-340. (CCF A类) [8]Xiaoping Li, Wei Yu, Rub?en Ruiz, Jie Zhu. Energy-aware cloud workflow applications scheduling with geo-distributed data. IEEE Transactions on Services Computing, 2022, 15(2): 891-903. (CCF A类) [9]Xiaoping Li, Fuchao Chen, Rubén Ruiz, Jie Zhu. MapReduce task scheduling in heterogeneous geo-distributed data centers. IEEE Transactions on Services Computing, 2022, 15(6): 3317-3329. (CCF A类) [10]Jinquan Zhang , Xiaoping Li , Long Chen , Rubén Ruiz. Scheduling Workflows with Limited Budget to Cloud Server and Serverless Resources. IEEE Transactions on Services Computing, 10.1109/TSC.2023.3332697 (CCF A类). [11]Zhicheng Cai, Xiaoping Li, and Jatinder N. D. Gupta, Heuristics for provisioning services to workflows in XaaS Clouds, IEEE Transactions on Services Computing. 2016，9(2): 250 -263. (CCF A类) [12]Long Chen, Xiaoping Li, Ruben Ruiz. Resource renting for periodical cloud workflow applications. IEEE Transactions on Services Computing. 2020, 13(1): 130-143. (CCF A类) [13]Jia Wang, Xiaoping Li, Rub?en Ruiz, Jie Yang, Dianhui Chu. Energy Utilization Task Scheduling for MapReduce in Heterogeneous Clusters. IEEE Transactions on Services Computing, 2022, 15(2): 931-944. (CCF A类) [14]Guangshun Yao, Qian Ren, Xiaoping Li, Shenghui Zhao, Rubén Ruiz. A hybrid fault-tolerant scheduling for deadline-constrained tasks in Cloud system. IEEE Transactions on Services Computing, 2022, 15(3): 1371 - 1384 (CCF A类) [15]Guangshun Yao, Xiaoping Li, Qian Ren, Rubén Ruiz. Failure-aware Elastic Cloud Workflow Scheduling. IEEE Transactions on Services Computing, 2023,16(3): 1846 - 1859. (CCF A类) [16]Xiaoping Li, Dongyuan Pan, Yadi Wang, Ruben Ruiz. Scheduling multi-tenant cloud workflow tasks with resource reliability. SCIENCE CHINA Information Sciences. 2022, 65(9): 192106. (CCF A类) [17]Xiaoping Li, Cheng Wu. Heuristic for no-wait flow shops with makespan minimization based on total idle-time increments. Science in China Series F: Information Sciences, 2008, 51(7)：896-909. (CCF A类) [18]Yamin Wang, Xiaoping Li, Rubén Ruiz, Shaochun Sui. An iterated greedy heuristic for mixed no-wait flowshop problems. IEEE Transactions on Cybernetics. 2018. 48(5):1553-1566. (CCF B类) [19]Yadi Wang, Xiaoping Li, Rubén Ruiz. Weighted General Group Lasso for Gene Selection in Cancer Classification. IEEE Transactions on Cybernetics. 2019, 49(8): 2860-2873. (CCF B类) [20]Xiaoping Li, Yadi Wang, Rub?en Ruiz. A survey on sparse learning models for feature selection. IEEE Transactions on Cybernetics. 2022, 52(3): 1642 - 1660. (CCF B类) [21] Yadi Wang, Xiaoping Li, Ruben Ruiz. Feature selection with maximal relevance and minimal supervised redundancy. IEEE Transactions on Cybernetics, 2023, 53(2): 707-717. (CCF B类) [22]Xinye Cai, Wenxue Sun, Mustafa Misir, Kay Chen Tan, Xiaoping Li, Tao Xu, Zhun Fan. A Bi-objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. IEEE Transaction on Cybernetics, 2021, 51(9): 4488-4500. (CCF B类) [23]Xinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuch, Xiaoping Li. A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, 2021, 25(1): 21-34. (CCF B类) [24]Xiaoping Li, Zhicheng Cai. Elastic Resource Provisioning for Cloud Workflow Applications. IEEE Transactions on Automation Science and Engineering. 2017, 14(2):1195-1210. (CCF B类) [25]Xiaoping Li, Yi Zhang. Adaptive hybrid algorithms for the sequence- dependent setup time permutation flow shop scheduling problem. IEEE Transactions on Automation Science and Engineering. 2012, 9(3):578-595. (CCF B类) [26]Long Chen, H. Burak Gunay, Zixiao Shi, Weiming Shen, Xiaoping Li. A metadata inference method for building automation systems with limited semantic information. IEEE Transactions on Automation Science and Engineering, 2020, 17(4): 2107-2119. (CCF B类) [27]Jie Zhu, Xiaoping Li. An effective meta-heuristic for no-wait job shops to minimize makespan. IEEE Transactions on Automation Science and Engineering. 2012, 9(1): 189-198. (CCF B类) [28]Xiaoping Li, Yulu Jiang, Rubén Ruiz. Methods for Scheduling Problems Considering Experience, Learning, and Forgetting Effects. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018, 48(5): 743-754. (CCF B类) [29]Yamin Wang, Xiaoping Li, Rubén Ruiz. An Exact Algorithm for the Shortest Path Problem With Position-Based Learning Effects. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2017, 47(11): 3037-3049. (CCF B类) [30] Haiyan Xu, Xiaoping Li, Ruben Ruiz, Haihong Zhu. Group scheduling with nonperiodical maintenance and deteriorating effects. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021, 51(5): 2860 - 2872. (CCF B类) [31]Zhicheng Cai, Xiaoping Li, Ruben Ruiz. Resource provisioning for task-batch based workflows with deadlines in public clouds, IEEE Transactions on Cloud Computing, 2019, 7(3): 814-826. (CCF C类) [32]Long Chen, Xiaoping Li, Yucheng Guo, Rubén Ruiz. Hybrid resource provisioning for cloud workflows with malleable and rigid tasks. IEEE Transactions on Cloud Computing, 2021, 9(3): 1089-1102. (CCF C类) [33]Shuang Wang, Xiaoping Li, Quan Z. Sheng, Amin Beheshti. Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey. IEEE Transactions on Network and Service Management. 2022, 19(3): 3587-3602. (CCF C类) [34] Yadi Wang, Xiaoping Li, Jun Wang*. A neurodynamic optimization approach to supervised feature selection via fractional programming. Neural Networks. 2021, 136: 194-206. (CCF B类) [35]Xiaoping Li, Tianze Jiang, Rubén Ruiz. Heuristics for periodical batch job scheduling in a MapReduce computing framework. Information Sciences. 2016, 326: 119–133. (CCF B类) [36]Xiaoping Li, Zhi Yang, Ruben Ruiz, Tian Chen, Shaochun Sui. An iterated greedy heuristic for no-wait flow shops with sequence dependent setup times, learning and forgetting effects. Information Sciences. 2018, 453: 408-425. (CCF B类) [37]Yingchun Yuan, Xiaoping Li, Qian Wang. Deadline division based heuristic for cost optimization in workflow scheduling. Information Sciences, 2009，179(4)：2562-2575. (CCF B类) [38]Zhicheng Cai, Xiaoping Li, Ruben Ruiz, Qianmu Li. A delay-based dynamic scheduling algorithm for bag-of-task workflows with stochastic task execution times in clouds. Future Generation Computer Systems, 2017, 71: 57-72. (CCF C类) [39]Zhicheng Cai, Xiaoping Li, Ruben Ruiz, Qianmu Li. Price forecasting for spot instances in Cloud computing. Future Generation Computer Systems, 2018, 79: 38-53. (CCF C类) [40] Zhicheng Cai, Qianmu Li, Xiaoping Li. Elasticsim: A toolkit for simulating workflows with cloud resource runtime auto-scaling and stochastic task execution times. Journal of Grid Computing, 2017.6, 15(2): 257~272. (CCF C类) [41]Long Chen, Xiaoping Li. Cloud Workflow Scheduling with Hybrid Resource Provisioning. Journal of Supercomputing, 2018, 74(12), 6529-6553. (CCF C类) [42]Ning Liu, Xiaoping Li, Weiming Shen. Multi-granularity resource virtualization and sharing strategies in cloud manufacturing. Journal of Network and Computer Applications. 2014, 46: 72-82. (CCF C类) [43]Yazhi Li, Xiaoping Li, Jatinder N.D. Gupta. Solving the multi-objective flowline manufacturing cell scheduling problem by hybrid harmony search. Expert Systems with Applications. 2015, 42(3): 1409-1417. (CCF C类) [44]Xiaoping Li, Cheng Wu, Qian Wang. Efficient Composite Heuristics for Total Flowtime Minimization in Permutation Flow shops. OMEGA, 2009, 37(1): 155- 164. [45]Yi Zhang, Xiaoping Li, Qian Wang. Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization. European Journal of Operational Research, 2009, 196(3): 869-876. [46]Jie Zhu, Xiaoping Li, Qian Wang. Complete Local Search with Limited Memory Algorithm for No-Wait Job Shops to Minimize Makespan. European Journal of Operational Research, 2009, 198: 378-386. [47]Chuyang Wang, Xiaoping Li, Qian Wang. Accelerated Tabu Search for No-wait Flowshop Problem Scheduling with Maximum Lateness Criterion. European Journal of Operational Research, 2010,206(1):64-72. [48] Xia Zhu, Rubén Ruiz, Shiyu Li, Xiaoping Li. An effective heuristic for project scheduling with resource availability cost. European Journal of Operational Research, 2017, 257: 746–762. [49]Xiaoping Li, Haiyan Xu, Minmin Li. A memory-based complete local search method with variable neighborhood structures for no-wait job shops. International Journal of Advanced Manufacturing Technology. 2016, 87:1401–1408. [50]Xiaoping Li, Cheng Wu. An efficient constructive heuristic for permutation flow shops to minimize total flowtime. Chinese Journal of Electronics, 2005, 14(2): 203-208. [51]Xia Zhu, Xiaoping Li. An enhanced greedy random adaptive search procedure with path- relinking for no-wait flowshop problem with setup times. Integrated Computer-Aided Engineering. 2015, 23(1): 51-68. [52]Xiaoping Li, Qian Wang, Cheng Wu. Heuristic for No-Wait Flow Shops with Makespan Minimization. International Journal of Production Research, 2008, 46(9): 2519-2530. [53]Zhuxi Chen, Xiaoping Li, Jatinder N.D. Gupta. A bi-directional flow-rack automated storage and retrieval system for unit-load warehouses. International Journal of Production Research. 2015, 53(14): 4176-4188. [54]Zhuxi Chen, Xiaoping Li, J.N.D. Gupta. Sequencing the storages and retrievals for flow-rack automated storage and retrieval systems with duration-of-stay storage policy, International Journal of Production Research. 2016, 54(4): 984-998. [55] Dandan Wang, Xiaoping Li. Quay Crane Scheduling with dual cycling. Engineering Optimization, 2015, 47(10): 1343-1360. [56]Dandan Wang, Anne Goodchild, Xiaoping Li, Zun Wang. Double Girder Bridge Crane with Double cycling: Scheduling Strategy and Performance Evaluation. Journal of Applied Mathematics, 2014. 418689 [57]Jia Wang, Xiaoping Li. Task scheduling for MapReduce in Heterogeneous Networks. Cluster Computing. 2016, 19(1): 197-210. [58]Yi Zhang, Xiaoping Li. Estimation of Distribution Algorithm for Permutation Flow Shops with Total Flowtime Minimization. Computers & Industrial Engineering. 2011,60(4): 706-718. [59]Jie Zhu, Xiaoping Li, Weiming Shen. A divide and conquer based greedy algorithm for two-machine no-wait job shop problems with makespan minimization. International Journal of Production Research. 2012, 50(10): 2692-2704. [60]Yi Zhang, Xiaoping Li. A Quantum-inspired Iterated Greedy Algorithm for Permutation Flowshops in a Collaborative Manufacturing Environment. International Journal of Computer Integrated Manufacturing. 2012, 25(10): 924-933. [61]Ning Liu, Xiaoping Li, Granulation-based Resource Classification in Cloud Manufacturing. Proceedings of the Institute of Mechanical Engineers Part B: Journal of Engineering Manufacture. 2015: 0954405415572644 [62]Jie Zhu, Xiaoping Li, Weiming Shen. Effective Genetic Algorithm for Resource- constrained Project Scheduling with Limited Preemptions. International Journal of Machine Learning and Cybernetics. 2011.2(2):55-65. [63]Xia Zhu, Xiaoping Li. Iterative search method for total flowtime minimization no-wait flowshop problem. International Journal of Machine Learning and Cybernetics. 2015, 6(5):747-761. [64]Xiaoping Li, Long Chen, Haiyan Xu, Jatinder N.D. Gupta. Trajectory Scheduling Methods for minimizing total tardiness in a flowshop. Operations Research Perspectives. 2:13–23, 2015. [65]李小平, 吴澄. 基于总空闲时间增量的无等待流水作业计划优化算法. 中国科学：E辑. 2008, 38(12): 2199-2211. [66]李小平，徐晓飞. 非同起点加工的多机调度合成算法.计算机学报, 2002,25(8)：817-822. [67]苑迎春, 李小平, 王茜. 基于逆向分层的网格工作流调度算法. 计算机学报, 2008, 31(2): 282-290. [68]朱夏, 李小平, 王茜. 基于目标增量的无等待流水调度迭代贪婪算法. 计算机学报, 2009, 32(1): 132-141. [69]王爽，李小平，陈龙. 随机云服务请求性能分析综述，计算机学报，2022, 45(6): 1241-1260. [70]蔡昕烨, 马中雨, 张峰, 李楠, 程会林, 孙祺, 肖禹舜, 李小平. 基于自适应分解的多任务协作型昂贵多目标优化算法, 计算机学报，2021, 44(9): 1934-1948. [71]李小平,徐晓飞,战德臣. 一种独立任务的同型机调度快速算法. 软件学报, 2002, 13(4): 812-817. [72]苑迎春,李小平,王茜,张晓东. 基于优先级规则的网格工作流调度. 电子学报，2009, 37(7): 1457-1464. [73]张晓东, 李小平, 王茜. 服务工作流的混合粒子群调度算法. 通信学报, 2008, 29(8): 87-93. [74]苑迎春,李小平, 王茜. 基于串归约的网格工作流费用优化方法. 计算机研究与发展, 2008, 45(2): 246-253. [75]苑迎春, 李小平, 王茜. 成本约束的网格工作流费用优化算法. 计算机研究与发展. 2009, 45(2): 194-201. [76]王初阳，李小平，王茜，苑迎春. 有准备时间无等待流水车间调度的搜索算法. 计算机研究与发展. 2010, 47(4): 653-662. [77]朱夏, 李小平, 王茜. 基于总空闲时间增量的无等待流水调度混合遗传算法. 计算机研究与发展. 2011, 48(3): 455-463. [78]李小平, 周志星, 陈龙, 朱洁. 异构边缘资源的任务卸载和协同调度. 计算机研究与发展. 2023, 60(6): 1296-1307.
科研项目	[1] 国家重点研发计划项目：支持动态重构的装备制造企业智能运营决策关键技术（No. 2022YFB3305500），2022.10-2025.9，项目负责人，3900万； [2] 国家重点研发计划项目：专业科技资源及服务集成技术（No. 2017YFB1400800），2017.12-2020.11，项目负责人， 2830万； [3] 国家重点研发计划课题：基于决策闭环反馈的业务流程动态重构机理和智能优化（No. 2022YFB3305504），2022.10-2025.9，课题负责人，310万； [4] 国家重点研发计划课题：开放式资源及服务集成模型与机理（No. 2017YFB1400801），2017.12-2020.11，课题负责人，320万； [5] 国家自然科学基金：高端装备云制造跨链计划与调度多维熵智慧协同优化（No. 62273089）. 2023.01-2026.12，项目负责人，53万； [6] 国家自然科学基金：带数据安全等级约束的云服务工作流调度（No. 61872077）. 2019.01-2022.12，项目负责人，64万； [7] 国家自然科学基金重点项目：大数据环境下的大服务理论与方法研究（No. 61832004）. 2019.01-2023.12，第一合作单位负责人，70万； [8] 国家自然科学基金：云计算环境下多尺度计费服务的批任务工作流调度（No.61572127），2016.1-2019.12，项目负责人，66万； [9] 国家自然科学基金：带有资源依赖学习效应的多模态项目调度交互式群智能方法（No. 61272377），2013.1-2016.12，项目负责人，82万； [10] 国家自然科学基金：基于无冲突集的约束Job Shop调度优化算法（No. 60973073），2010.1-2012.12，项目负责人，30万； [11] 国家自然科学基金：基于服务计算的一类不可分解调度问题自适应算法（No. 60672092），2007.1-2009.12，项目负责人，22万； [12] 国家自然科学青年基金：基于目标增量的大规模无等待调度复合启发式算法（No. 60504029），2006.1-2008.12，项目负责人，22万； [13] 国家863计划：基于SOA的高可用车间作业计划与调度协同优化新技术（No. 2008AA04Z103），2008.10-2010.10，项目负责人，71万； [14] 国家科技支撑计划：制造业信息化标准与规范研究（No. 2006BAK04A20-9），2007.11～2010.9，课题负责人，24万； [15] 江苏省重点研发计划：技术情报挖掘分析基础理论研究（No. BE2015728），2015.7-2018.6，课题负责人，30万； [16] 广东省重点领域研发计划项目：多重网络化环境工业软件关键技术与系统 (No. 2021B0101200003), 2021.1-2024.1课题负责人，80万； [17] 教育部高等学校博士学科点专项科研基金（博导类）：带学习效应的航空制造复杂调度交互群智能方法（No. 20120092110027），2013.1-2015.12，项目负责人，12万； [18] 教育部新世纪优秀人才支持计划：复杂生产的智能协同优化方法（ No. NCET-09-0290），2010.1-2012.12，项目负责人，50万； [19] 华为技术有限公司技术研发项目：函数&数据重排及TRP间通道校正合作项目， TC20211020707，2021.11-2022.9，75万元，项目负责人； [20] 中车唐山机车车辆有限公司：APS智能排产实施技术服务项目，202250YG0005，2022-01 至今，18万元，项目负责人； [21] 江苏省“六大人才高峰”: 服务系统集成技术与优化方法( No. 2019-RJFW-006)，2019.1-2021.12，项目负责人； [22] 江苏省“六大人才高峰”:复杂云服务智能调度优化方法(No. 2012-WLW-016)，2013.1-2015.12，项目负责人； [23] 中国博士后科学基金：有资源约束和模糊时间的复杂产品计划优化与控制方法（No. 2003033150），2003.1-2004.12，项目负责人； [24] 黑龙江省自然科学基金：单件小批生产的多级供应链计划与调度研究（No. F0207），2003.1-2005.12，项目负责人； [25] 哈尔滨市青年基金：面向工程生产的多层计划优化方法（No. 2002AFQXJ033），2003.1-2004.12，项目负责人； [26] 黑龙江省教育厅科学研究项目：单件小批生产的复合式生产计划与调度（No. 10531056），2003.1-2004.12，项目负责人。
我的团队	智能服务调度与安全团队