Optimization and Control for Systems in the Big-Data Era
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Optimization and Control for Systems in the Big-Data Era

Optimization and Control for Systems in the Big-Data Era


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About the Book

Preface.- 1. Optimization and Control for Systems in the Big-Data Era: An Introduction.- - Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang.- Part I: Reviews on Optimization and Control Theories.- 2. Dual Control in Big Data Era: An Overview.- - Peilin Fu.- 3. Time Inconsistency and Self Control Optimization Problems: Progress and Challenges.- - Yun Shi, Xiangyu Cui.- 4. Quadratic Convex Reformulations for Integer and Mixed-Integer Quadratic Programs.- - Baiyi Wu, Rujun Jiang

.- Part II: Reviews on Optimization and Control Applications.- 5. Measurements of Financial Contagion: A Primary Review from the Perspective of Structural Break.- - Xi Pei, Shushang Zhu

.- 6. Asset-Liability Management in Continuous-Time: Cointegration and Exponential Utility.- - Mei-Choi Chiu.- 7. A Review of Modern Cryptography: From the World War II Era to the Big-Data Era.- - Bojun Lu.- 8. Supply Risk in the New Business Era: Supply Chain Competition and Cooperation.- - Xiang Li, Yongjian Li, Linghua Zhao

.- Part III: Financial Optimization Analysis.- 9. A Parameterized Method for Optimal Multi-period Mean-Variance Portfolio Selection with Liability.- - Xun Li, Zhongfei Li, Xianping Wu, Haixiang Yao

.- 10. Sparse and Multiple Risk Measures Approach for Data Driven Mean-CVaR Portfolio Optimization Model.- - Jianjun Gao, Weiping Wu

.- 11. Multistage Optioned Portfolio Selection: Mean-Variance Model and Target Tracking Model.- - Jianfeng Liang

.- 12. Multi-period portfolio selection with stochastic investment horizon.- - Lan Yi

.- Part IV: Operations Analysis.- 13. A New Model and Method for Order Selection Problems in Flow-shop Production.- - Jun Wang, Xiaoxiao Zhuang, Baiyi Wu

.- 14. Quick Response Fashion Supply Chains in the Big Data Era .- - Tsan-Ming Choi

.- Part V: Concluding Remarks.- 15. Optimization and Control for Systems in the Big-Data Era: Concluding Remarks.- - Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang


About the Author:

Tsan-Ming Choi (Jason) is currently Professor of Fashion Business at The Hong Kong Polytechnic University. Over the past ten years, he has actively participated in a variety of research projects on supply chain management and applied optimization for fashion business operations. He has authored/edited fifteen research handbooks. He has published extensively in leading journals such as Annals of Operations Research, Automatica, Decision Support Systems, European Journal of Operational Research, IEEE Transactions on Automatic Control, IEEE Transactions on Engineering Management, IEEE Transactions on Industrial Informatics, Naval Research Logistics, Production and Operations Management, Service Science, Transportation Research - Part E, etc. He has consulted several listed companies on supply chain management related topics. He is currently a senior editor of Production and Operations Management, an associate editor of Asia-Pacific Journal of Operational Research, Decision Support Systems, IEEE Transactions on Systems, Man and Cybernetics - Systems, Information Sciences, International Transactions in Operational Research, and Transportation Research - Part E. In the past, he served as an executive committee member/officer of professional organizations such as IEEE-SMC(HK) and POMS(HK). He is the recipient of the President's Award for Excellent Achievements of The Hong Kong Polytechnic University. He received the Best Associate Editor Award of IEEE Systems, Man, and Cybernetics Society in two consecutive years (2013 and 2014).


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Product Details
  • ISBN-13: 9783319535166
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2017
  • Language: English
  • Returnable: Y
  • Spine Width: 18 mm
  • Weight: 634 gr
  • ISBN-10: 3319535161
  • Publisher Date: 12 May 2017
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 280
  • Series Title: International Operations Research & Management Science
  • Sub Title: Theory and Applications
  • Width: 156 mm


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