陈瀚宁


教授
博士生导师

研究生招生专业：控制科学与工程
研究方向：智能优化、智能工厂系统、增材制造

个人简介——————————————————————————————
陈瀚宁，男，1979年生，中共党员，博士研究生，现任天津工业大学教授、博士生导师。长期在智能制造领域开展深入研究，在面向重大应用需求的人工智能理论、智能工厂软件平台及3D打印装备技术等方面成果显著。近五年作为项目负责人，主持了智能制造领域国家重点研发计划课题2项、国家863课题1项、国家科技支撑计划课题1项、国家自然科学基金2项、国家智能制造标准项目课题1项。在国际重要学术刊物、会议上发表科技论文100余篇，SCI收录论文50余篇；出版中、英文学术专著各1部；获得国家发明专利20余项。受邀担任国际学术大会分会主席3次、口头报告10余次。获“辽宁省自然科学二等奖”1项、“辽宁省自然科学学术成果奖一等奖”1项、辽宁省“科学技术研究成果”2项、中科院沈阳自动化所“创新2020冠名奖-前沿研究奖”1项、中科院沈阳自动化所“优秀博士论文”。入选中国科学院青年促进会首批会员，现为IEEE计算机学会会员、美国机械工程师学会（ASME）会员、美国计算机学会（ACM）会员、中国科协智能制造联合体理事代表、国家科技奖励评审专家、国家自然科学基金委员会项目同行评议专家、国家科技专家库入库专家。被评为天津市“131”创新型人才培养工程一层次人才、天津市高校“学科领军人才培养计划”、辽宁省优秀人才培育计划、天津市西青区首批“113计划-创业领军人才”、天津工业大学“天工****”支持计划。

教育经历 ——————————————————————————————

2005/09-2008/12
中国科学院沈阳自动化研究所
博士

2002/09-2005/07
燕山大学
硕士

1998/09-2002/07
燕山大学
学士

工作经历——————————————————————————————

2009/01-2010/12
中国科学院沈阳自动化研究所
助理研究员

2011/01-2014/09
中国科学院沈阳自动化研究所
副研究员

2014/10-至今
天津工业大学计算机科学与技术学院
教授

主要科研项目 ————————————————————————————
[1] 国家自然科学基金面上项目，**，多孔金属骨缺损替代物增材制造过程的智能建模与优化算法研究，2018/01-2021/12，61万元，在研，主持
[2] 十三五国家重点研发计划激光制造重点专项子课题，2017YFB**，不同工业领域修复判据、性能评价、标准制定及工程应用，2017/07-2020/12，85.5万元，在研，主持
[3] 十三五国家重点研发计划激光制造重点专项子课题，2017YFB**，纺织智能工厂，2017/07-2020/12，98万元，在研，参与
[4] 天津市自然基金-青年基金-一般项目，17JCYBJC15100，基于生物最优觅食行为的优化算法研究及其在复杂系统行为分析中的应用，2017/04-2020/03，10万元，在研，主持
[5] 十三五国家重点研发计划激光制造重点专项子课题，2016YFB**，高性能航空用大型金属结构激光同步送粉增材制造工艺与装备，2016/06-2020/05，20万元，在研，主持
[6] 天津市自然基金-科技计划项目，16ZLZDZF00150，促进天津市智能机器人产业发展的对策研究，2016/10-2017/09，10万元，已结题，主持
[7] 企业委托，P2016A001，秸秆预处理生产线及水解设备研发与应用，2016/04-2017/12，1660万元，已结题，主持
[8] 中国科学院重点实验室开放课题，WLHKZ**，模拟植物生长的新型生物启发式优化模型与方法研究，2015/06-2016/06，4万元，已结题，主持
[9] 2015智能制造专项子课题，2015ZXC**，新能源客车智能化工厂，2014/01-2017/12，45万元，已结题，主持
[10]辽宁省优秀人才培育基金，-301，面向重点应用领域的生物启发计算理论与优化方法，2012/06-2014/05，5万元，已结题，主持
[11]佛山市院市合作项目，2012HY100523，基于物联网的家具商贸综合服务平台研发与应用示范，2012/06-2014/05，600万元，已结题，主持
[12]佛山市院市合作项目，2012HY100643，乐从家具商贸产业全程电子商务服务平台建设，2012/06-2014/05，330万元，已结题，主持
[13]国家科技支撑计划项目课题，2012BAH15F05，基于智能终端的互动社区服务平台与应用示范，2012/01-2014/12，110万元，已结题，主持
[14]国家自然科学基金青年项目，**，基于生物行为的RFID系统优化模型与算法研究，2012/01-2014/12，25万元，已结题，主持
[15]中国科学院创新促进会人才基金，Y2A**，中国科学院创新促进会人才基金，2012/01-2014/12，40万元，已结题，主持
[16]国家自然科学基金面上项目，**，基于细菌行为模式的复杂系统建模与优化方法研究，2012/01-2015/12，63万元，已结题，参与
[17]中科院战略性先导科技专项子课题，Y2A**，物理信息互操作引擎，2012/01-2016/12，1807.4万元，已结题，主持
[18]国家863计划重大项目课题，2011AA040605-2，面向中小企业的云制造服务平台研发及应用，2011/04-2012/12，60万元，已结题，主持

专著———————————————————————————————
[1] Chen Hanning, He Maowei, Ma Lianbo, BIO-INSPIRED COMPUTATION AND COMPLEX ADAPTIVE SYSTEM IN ENGINEERING, Cayley Nielson, 426,00，2017
[2] 朱云龙，陈瀚宁，申海，生物启发计算—个体 群体 群落演化模型与方法，清华大学出版社，645千字，2013

主要学术论文 ————————————————————————————
[1] Chen, HN, Ma, LB, He MW, Wang XW*, Liang XD, Sun LL, Huang M, Artificial Bee Colony Optimizer Based on Bee Life-cycle for Stationary and Dynamic Optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 4(2): 327-346
[2] Chen, HN*, Zhu, YL, Ma, LB, Su, WX, Bacterial colony foraging for multi-mode product colour planning, International Journal of Bio-Inspired Computation, 2015,7(4):240-262
[3] Chen, HN*, Zhu, YL, Hu, KY, Ma, LB, Bacterial Colony Foraging Algorithm: Combining Chemotaxis, Cell-to-cell Communication, and Self-adaptive Strategy, Information Sciences, 2014, 273: 73-100
[4] Chen, HN, Ma, LB, Zhu, YL*, Multi-Hive Bee Foraging Algorithm for Multi-objective Optimal Power Flow Considering the Cost, Loss, and Emission, International Journal of Electrical Power & Energy Systems, 2014, 60: 203-220
[5] Chen, HN*, Niu, B, Ma, LB, Su, WX, Zhu, YL, Bacterial colony foraging optimization, Neurocomputing, 2014,137: 268–284
[6] Chen, HN*, Zhu, YL, Hu, KY, Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning, Applied Soft Computing, 2010, 10(2): 539-547
[7] H.N. Chen*, Y.L. Zhu, A Discrete Multi-swarm Optimizer for RFID Network Scheduling, Journal of Central South University, 2014, 21(1): 199-212
[8] H.N. Chen*, Y.L. Zhu, Bacterial Colony Foraging Model: combing chemotaxis, Cell-to-cell Communication, and Self-adaptive strategy, Journal of Investigative Medicine, 2013, 61(4): S9-S9
[9] H.N. Chen*, Y.L. Zhu, A Lifecycle Model for Simulating Bacterial Colony Evolution, Journal of Investigative Medicine, 2013, 61(4): S25-S25
[10] H.N. Chen*, Y.L. Zhu, Bio-inspired Algorithm for Optimal Dynamic Deployment of RFID Reader Networks, Electronics World, 2013, 119(1921): 36-39
[11]H.N. Chen*, Y.L. Zhu, K.Y. Hu, D. Man, W.S. Su, A Novel Bacterial Foraging Algorithm For Multi-working Mode Product Color Planning, Information, 2012, 15(1): 123-130
[12]H.N. Chen*, Y.L. Zhu, K.Y. Hu, T. Ku, RFID network planning using a multi-swarm optimizer, Journal of Network and Computer Applications, 2011, 34(3): 888-901
[13]H.N. Chen*, Y.L. Zhu, K.Y. Hu, Adaptive Bacterial Foraging Optimization, Abstract and Applied Analysis, 2011:1-27
[14]H.N. Chen*, Y.L. Zhu, K.Y. Hu, Multi-colony Bacteria Foraging Optimization with Cell-to-cell Communication for RFID Network Planning, Applied Soft Computing, 2010, 10(2): 539-547
[15]H.N. Chen*, Y.L. Zhu, K.Y. Hu, X.X. He, Hierarchical Swarm Model: A New Approach to Optimization, Discrete Dynamic in Nature and Society, 2010:1-30
[16]H.N. Chen*, Y.L. Zhu, K.Y. Hu, Virtual Enterprise Risk Management Using Artificial Intelligence, Mathematical Problems in Engineering, 2010:1-20
[17]H.N. Chen*, Y.L. Zhu, K.Y. Hu, Discrete and Continuous Optimization based on Multi-swarm Coevolution, Natural Computing, 2010, 9(3): 659-682
[18]H.N. Chen*, Y.L. Zhu, K.Y. Hu, Virtual Enterprise Risk Management Using Artificial Intelligence, Mathematical Problems in Engineering, 2009:1-17
[19]H.N. Chen*, Y.L. Zhu, Q.H. Wu, B. Niu, An Improved Group Search Optimizer for Mechanical Design Optimization Problems, Progress in Natural Science, 2009, 19(1): 91-97
[20]H.N. Chen*, Y.L. Zhu, Optimization based on Symbiotic Multi-species Coevolution, Applied Mathematics and Computation, 2008, 47(1): 47-60
[21]Yabao Hu, Hanning Chen*, Maowei He*, Liling Sun, Rui Liu, and Hai Shen, Multi-swarm Multi-objective Optimizer based on p-Optimality Criteria for Multi-objective Portfolio Management, Mathematical Problems in Engineering, Volume 2019
[22]MW He, YB Hu, HN Chen*, LL Sun, XX Wang, WX Su, F Liu, XD Liang, LB Ma, Lifecycle Coevolution Framework for many evolutionary and swarm intelligence algorithms fusion in solving complex optimization problems, Swarm and Evolutionary Computation, 2017
[23]Weixing Su, Hanning Chen*, Fang Liu, Na Lin, Shikai Jing, Xiaodan Liang, Wei Liu, A novel comprehensive learning artificial bee colony optimizer for dynamic optimization biological problems, Saudi Journal of Biological Sciences, 2017, 3(24): 695-702
[24]Na Lin, Hanning Chen*, Shikai Jing, Fang Liu, Xiaodan Liang, Biomimicry of symbiotic multi-species coevolution for discrete and continuous optimization in RFID networks, Saudi Journal of Biological Sciences, 2017, 3(24): 610-621
[25]Man Ding, Hanning Chen*, Na Lin, Shikai Jing, Fang Liu, Xiaodan Liang, Wei Liu, Dynamic population artificial bee colony algorithm for multi-objective optimal power flow, Saudi Journal of Biological Sciences, 2017, 3(24): 703-710
[26]Weixing Su, Lin Na, Fang Liu, Wei Liu, Muhammad Aqeel Ashraf, Hanning Chen*, Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors, Open Life Sciences, 2017, 11(1):447-457
[27]Jing, S.K., Ma, LB, Zhu, YL, Chen, H.N.*, A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication, Journal of Intelligent Manufacturing, 2016:1-26
[28]Jing, S.K., Liang X.D., Chen, H.N.*, Ma, LB, Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model, Soft Computing, 2016:1-29
[29]Ding M., Chen, H.N.*, Computer-aided Approach to Medicine Color Planning, Basic & Clinical Pharmacology & Toxicology, 2016, 118: (Suppl. 1), 3–117
[30]Ding M., Chen, H.N.*, Multi-emotional Drug Design Using Gray Theory and Physical Programming, Basic & Clinical Pharmacology & Toxicology, 2016, 118: (Suppl. 1), 3–117
[31]Ma, LB, Zhu, YL, Hu, KY, Chen, HN*, A hybrid artificial bee colony optimizer by combining with life-cycle, Powell's search and crossover, Applied Mathematics and Computation, 2015, 252: 133-154
[32]Ma, LB, Zhu, YL, Liu, Y, Tian LW, Chen, HN*, A novel bionic algorithm inspired by plant root foraging behaviors, Applied Soft Computing, 2015, 37: 95-113
[33]Ma, LB, Zhu, YL, Hu, KY, Chen, HN*, Cooperative artificial bee colony algorithm for multi-objective RFID network planning, Journal of Network and Computer Applications, 2014, 42: 143–162
[34]L.B. Ma, Y.L. Zhu, K.Y. Hu, H.N. Chen*, Cooperative Artificial Bee Colony Algorithm for Multi-objective RFID Network Planning, Journal of Network and Computer Applications, 2014:1-20
[35]L. Wei, B. Niu, Y.L. Zhu, H.N. Chen*, Artificial Bee Colony Algorithm for Reader Collision Problem in RFID Network, Journal ofComputational and Theoretical Nanoscience, 2013, 10(12): 2877-2883
[36]L. Wei, B. Niu, Y.L. Zhu, H.N. Chen*, Robot Path Planning Using a Self-adaptive Bacterial Foraging Algorithm, Journal of Computational and Theoretical Nanoscience, 2013, 10(12): 2890-2896
[37]L. Yang*, K.Y. Hu, Y.L. Zhu, H.N. Chen*, Image Segmentation Using Artificial Intelligence Approaches, Electronics World, 2013, 119(1931): 39-41
[38]L.B. Ma, Y.L. Zhu, K.Y. Hu, H.N. Chen*, Computational Evolution of Social Behavior in Bacterial Colony Optimization Model, Journal of Pure and Applied Microbiology, 2013, 10(12): 2890-2896
[39]Y.C. Shao, X.J. Yao, L.W. Tian, H.N. Chen*, A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management, Discrete Dynamics in Nature and Society, 2012:1-24
[40]H. Zhang*, Y.L. Zhu, H.N. Chen, Root growth model: a novel approach to numerical function optimization and simulation of plant root system, Soft Computing,2014, 18(3): 521-537
[41]X.H.Yan*, Y.L Zhu., H.N. Chen, ZhangH., A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization, Natural Computing, 2014:1-16
[42]X.H.Yan*, Y.L Zhu., ZhangH., H.N. Chen, B. Niu, An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning, Discrete Dynamics in Nature and Society, 2012:1-20
[43]W.P.Zou*, H.N. Chen, B.W. Zhang, Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm, Discrete Dynamics in Nature and Society, 2011:1-20
[44]M. Ding, W. Sun, H.N. Chen, Multi-working Modes Product Color Planning based on Evolutionary Algorithms and Swarm Intelligence, Mathematical Problems in Engineering, 2010:1-15
[45]W.P.Zou*, Y.L Zhu., H.N. Chen, X. Sui, A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm, Discrete Dynamic in Nature and Society, 2010:1-16

主要科研获奖 —————————————————————————————————
[1] 陈瀚宁（2/6），复杂生物系统演化模型与优化的基础理论与方法，辽宁省科学技术厅，辽宁省自然科学奖，二等奖，2017
[2] 陈瀚宁（1/1），前沿研究奖，中国科学院沈阳自动化研究所，创新2020科技冠名奖，一等奖，2012
[3] 陈瀚宁（1/2），Optimization Based on Symbiotic Multi-species Coevolution，辽宁省科学技术协会，辽宁省自然科学学术成果奖，一等奖，2009