AIRR

编委详情

基本情况

宋士吉,清华大学自动化系教授,中国大洋信息系统研究与建设领域责任专家,中国大洋能力建设工作组成员,中国人工智能学会智能空天系统专业委员会委员,并担任《自动化学报》、《模版系统与数学》编委。

 

教育背景

199810月至200011月 博士后东南大学控制科学与工程   

19967月至19989月 博士后,中国海洋大学海洋环境科学与工程   

19933月至19965月 博士,哈尔滨工业大学数学系   

19869月至19895月 硕士,哈尔滨工业大学数学系   

19829月至19867月 学士,哈尔滨师范大学数学系    

 

研究领域

  1. 复杂工业系统建模、分析、优化运行与智能控制
  2. 复杂供需链系统的库存管理及运输路径优化调度
  3. 大规模生产制造过程车间/流水线问题优化调度
  4. 基于缺失数据的统计学分析、智能预测与评价技术
  5. 大洋矿产资源可视化信息系统及其应用

 

论文发表

  1. Jin Feng, Gupta J, Song Shiji, Wu Cheng, Single machine scheduling with sequence-dependent family setups to minimize maximum lateness. Journal of The Operational Research Society, 2010, 61(7): 1181-1189
  2.  Li Guocheng, Song Shiji, Wu Cheng, neralized gradient projection neural networks for nonsmooth optimization problems. Science China, Information Sciences, 2010, 53(5): 990-1005
  3. Zhang Heming, Liang Silv, Song Shiji, Truncation Error Calculation based on Richardson Extrapolation for Variable-Step Collaborative Simulation, Science China, Information Sciences, 2011, 54(6): 1-13
  4. Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin, A Hybrid Genetic Algorithm for Two-stage Multi-item Inventory System with Stochastic Demand. Neural Computing and Applications, 2011, accepted
  5. Yukui Zhang, Shiji Song, Cheng Wu, Heming Zhang, Kang Li, entification Based on Fuzzy Inference Rules of Chiller Model in HVAC System with Intelligent Optimization Algorithms. Neural Computing and Applications, 2011, accepted
  6. Jin Feng, Song Shiji, Wu Cheng, Dominance property based tabu search for single machine scheduling problems with family setups. Journal of Systems Engineering and Electronics, 2009, 20(6): 1233-1238
  7. Jin Feng, Song Shiji, Wu Cheng, A simulated annealing algorithm for single machine scheduling problems with family setups. Computers & Operations Research, 2009, 36: 2133- 2138
  8. Ji Pengcheng, Song Shiji, Wu Cheng, Infinitesimal Dividing Modeling Method for Dual Suppliers Inventory Model with Random Lead Times. Journal of Systems Engineering and Electronics, 2009, 20(3):527-536
  9. Jin Feng, Song Shiji, Wu Cheng, Structural Property and Meta-heuristic for the Flow Shop Scheduling Problem. In Computational Intelligence in Flow Shop and Scheduling, Springer-Verlag, Berlin Heidelberg. Editor Uday K. Chakraborty, 2009, pp. 1-20
  10. Jin Feng, Gupta JND, Song Shiji, Wu Cheng, Makespan distribution of permutation flowshop schedules. Journal of Scheduling, 2008, 11: 421-432
  11. Jin Feng, Song Shiji, Wu Cheng,A simulated annealing based beam search algorithm for the flow-shop scheduling problem. International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22: 65-75
  12. Wang Xizhao, Li Chunguo, Yeung D.S., Song Shiji, A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing, 2008, 71:1515-1526
  13. Zou Hongxing, Song Shiji, Liu Zhixin, Chen Yongqiang and Li Yanda, Acceleration- based Dopplerlet transform - Part I: Theory. Signal Processing, 2008, 88: 931-945
  14. Jin Feng, Song Shiji, Wu Cheng, An improvement of NEH algorithm with application in large scale FSP. IIE Transactions, 2007, 39: 229-234
  15. Li Guocheng, Song Shiji, Zhang Bo, Controllability of nonlinear integrodifferential systems in Banach space with nonlocal conditions. Dynamic Systems and Applications, 2007, 16: 729-741
  16. Li Guocheng, Song Shiji, Wu Cheng, Subgradient-based feedback neural networks for solving non-differentiable convex optimization problems. Science in China, Series F, 2006, 49: 421-435
  17. Song Shiji, Wu Cheng, Xue XP, Existence and uniqueness of Cauchv problem for fuzzy differential equations under dissipative conditions. Computer And Mathematics with Applications, 2006, 51: 1483-1492
  18. Song Shiji, Li Guocheng, Guan Xiaohong, A neural network model for non-smooth optimization over a compact convex subset. Lecture Notes in Computer Science, ISNN 2006, 2006, 3971: 344-349
  19. Li Guocheng, Song Shiji, Wu Cheng, Differential inclusions-based neural networks for non-smooth convex optimization on a closed convex subset. Lecture Notes in Computer Science, ISNN 2006, 2006, 3971: 350-358

 

分享
Top