基本介紹
- 中文名：賴李媛君
- 出生日期：1987年08月21日
- 畢業院校：北京航空航天大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：控制科學與工程
- 任職院校：北京航空航天大學
個人經歷,研究方向,學術成果,榮譽獎項,
個人經歷
教育經歷
[1] 2012.9-2015.7
[2] 2009.9-2012.7
北京航空航天大學 | 控制科學與工程 | Master's Degree | 碩士研究生畢業
[3] 2005.9-2009.7
北京航空航天大學 | 控制科學與工程 | Bachelor's Degree | 大學本科畢業
工作經歷
[1] 2017.7-2018.7
伯明罕大學 | 訪問學者
[2] 2016.1-至今
北京航空航天大學 | 講師 | 在職
現為國際仿真學會（SCS）會員，中國仿真學會智慧型物聯專委會委員，系國際期刊International Journal of Modeling, Simulation, and Scientific Computing副主編。
研究方向
[1] 可配置智慧型最佳化算法及其並行化
[2] 面向再製造的機器人拆卸建模與最佳化
[3] 多智慧型體系統動態模式發現與評估
[4] 自適應線上增量學習
學術成果
已出版英文學術專著2部，發表學術論文30餘篇，第一或通訊作者發表SCI論文9篇（其中ESI高被引論文1篇）。主持國家重點研發計畫子課題1項，國家自然科學基金青年基金1項，參與國家自然科學基金面上項目2項。
科研項目
[1] 中國科協青年托舉人才工程計畫項目, 在研
[2] 數據驅動的雲數據中心智慧型管理技術與平台子課題“數據驅動的任務群動態併合調度技術研究”, 在研, 國家重點研發計畫
[3] 多智慧型體仿真模型演化特徵關係挖掘及可信度評估方法研究, 在研, 國家自然基金青年基金
論文
[1] Zhang L, Zeigler B P, Laili Y.Model Engineering for Simulation.Elsevier.2018
[2] Tao F, Zhang L, Laili Y.Configurable Intelligent Optimization Algorithm.Springer.2016
[3] Laili Y,Tao F,Pham D T,Wang Y,Zhang L.Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm.Robotics and Computer-Integrated Manufacturing.2019,52 :130-142
[4] Laili Y,Zhang L,Li Y.Parallel transfer evolution algorithm.Applied Soft Computing.2019,75 :686-701
[5] Laili Y, Tao F, Wang F, Zhang L, Lin T.An Iterative Budget Algorithm for Dynamic Virtual machine consolidation under cloud computing environment.IEEE Transactions on Services Computing.2018
[6] Laili Y,Zhang L,Luo Y.Pattern-based Validation Metric for Simulation Models.SCIENCE CHINA Information Sciences.2019
[7] Laili Y, Zhang L, Tao F, Ma P.Rotated neighbor learning-based auto-configured evolutionary algorithm.Science China Information Sciences.2016,59 (5):052101
[8] Laili Y, Tao F, Zhang L, Cheng Y, Luo Y, Sarker B R.A ranking chaos algorithm for dual scheduling of cloud service and computing resource in private cloud.Computers in Industry.2013,64 (4):448-463
[9] Laili Y, Tao F, Zhang L, Sarker B R.A study of optimal allocation of computing resources in cloud manufacturing systems.The International Journal of Advanced Manufacturing Technology.2012,63 (5-8):671-690
[10] Liu A, Laili Y.Balance Gate Controlled Deep Neural Network.Neurocomputing.2018
[11] Tao F, LaiLi Y, Xu L, Zhang L.FC-PACO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system.IEEE Transactions on Industrial Informatics.2013,9 (4):2023-2033
[12] Tao F, Laili Y, Liu Y, Feng Y, Wang Q, Zhang L, Xu L.Concept, principle and application of dynamic configuration for intelligent algorithms.IEEE systems journal.2014,8 (1):28-42
[13] Tao F, Laili Y, Zhang L, Zhang Z, Nee A C.QMAEA: a quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization.Simulation.2014,90 (2):182-204
[14] Fang Y,Ming H,Li M,Liu Q,Pham D T.Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations :1-17
[15] Tao F, Li C, Liao T W, Laili Y.BGM-BLA: a new algorithm for dynamic migration of virtual machines in cloud computing.IEEE Transactions on Services Computing.2016,9 (6):910-925
[16] Zhang Y, Tao F, Laili Y, Hou B, Lv L, Zhang L.Green partner selection in virtual enterprise based on Pareto genetic algorithms.The international journal of advanced manufacturing technology.2013,67 (9-12):2109-2125
[17] Laili Y, Tao F, Zhang L, Ren L.The optimal allocation model of computing resources in cloud manufacturing system.2011 Seventh International Conference on Natural Computation (ICNC).2011,4 :2322-2326
[18] Zhou L, Zhang L, Ren L, Laili Y.Matching and selection of distributed 3D printing services in cloud manufacturing.Industrial Electronics Society, IECON 2017-43rd Annual Conference of the IEEE..2017 :4728-4733
[19] Li F, Zhang L, Laili Y.Multi-Task Scheduling Based on QoS Evaluation in Cloud Manufacturing System.ASME 2017 12th International Manufacturing Science and Engineering Conference.2017
[20] Li F, Laili Y, Zhang L, Hu X, Zeigler B P.Service composition and scheduling in cloud-based simulation environment.Proceedings of the Model-driven Approaches for Simulation Engineering Symposium.2018
[21] Liu J, Zhang L, Sheng V S, Laili Y.Social Recommendation Terms: Probabilistic Explanation Optimization.Monterey Workshop :155-167
[22] Che Z, Zhao C, Laili Y, Zhang L.Research on the dynamic management of cloud simulation derived data.International Journal of Modeling, Simulation, and Scientific Computing.2017
[23] Li F, Zhang L, Liu Y, Laili Y.QoS-Aware Service Composition in Cloud Manufacturing: A Gale-Shapley Algorithm-Based Approach.IEEE Transactions on Systems, Man, and Cybernetics: Systems.2018 :1-12
[24] Liu Y, Zhang L, Laili Y.Study on model reuse for complex system simulation.SCIENTIA SINICA Informationis.2018,48 (7):743-766
[25] LaiLi Y, Tao F, Zhang L.Multi operators-based partial connected parallel evolutionary algorithm.IEEE Congress on Evolutionary Computation.2016 :4289-4296
[26] Zhou L, Zhang L, Sarker B R, Laili Y, Ren L.An event-triggered dynamic scheduling method for randomly arriving tasks in cloud manufacturing.International Journal of Computer Integrated Manufacturing.2018,31 (3):318-333
[27] Zhou L, Zhang L, Laili Y, Zhao C, Xiao Y.Multi-task scheduling of distributed 3D printing services in cloud manufacturing.The International Journal of Advanced Manufacturing Technology.2018,96 (9-12):3003-3017
[28] Wang F, Chen A, Laili Y, Zhang L, Wan P, Zhao D, Tao F.Parallel plants collaborative growth algorithm for virtual machine migration.International Journal of Service and Computing Oriented Manufacturing.2014,1 (3):211-236
[29] Zhou L, Zhang L, Zhao C, Laili Y, Xu L.Diverse task scheduling for individualized requirements in cloud manufacturing.Enterprise Information Systems.2018,12 (3):300-318
[30] Li F, Zhang L, Liu Y, Laili Y, Tao F.A clustering network-based approach to service composition in cloud manufacturing.International Journal of Computer Integrated Manufacturing.2017,30 (12):1331-1342
[31] Ren L, Cui J, Wei Y, LaiLi Y, Zhang L.Research on the impact of service provider cooperative relationship on cloud manufacturing platform.The International Journal of Advanced Manufacturing Technology.2016,86 (5-8):2279-2290
[32] Laili Y, Zhang L, Tao F.Energy adaptive immune genetic algorithm for collaborative design task scheduling in cloud manufacturing system.IEEE International Conference on Industrial Engineering and Engineering Management.2011
[33] Guo H, Tao F, Zhang L, Laili Y J, Liu D K.Research on measurement method of resource service composition flexibility in service-oriented manufacturing system.International Journal of Computer Integrated Manufacturing.2012,25 (2):113-135
榮譽獎項
2016中國科協青年人才托舉工程計畫
2017Young Simulation Scientist Award
