Optimization and Control for Systems in the Big-Data Era: Theory and Applications

✍ Scribed by Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 281
• Series: International Series in Operations Research & Management Science 252
• Edition: 1
• Category: Library

✦ Synopsis

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle.

Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

✦ Table of Contents

Front Matter....Pages i-x
Optimization and Control for Systems in the Big Data Era: An Introduction....Pages 1-6
Front Matter....Pages 7-7
Dual Control in Big Data Era: An Overview....Pages 9-32
Time Inconsistency and Self-Control Optimization Problems: Progress and Challenges....Pages 33-42
Quadratic Convex Reformulations for Integer and Mixed-Integer Quadratic Programs....Pages 43-58
Front Matter....Pages 59-59
Measurements of Financial Contagion: A Primary Review from the Perspective of Structural Break....Pages 61-84
Asset-Liability Management in Continuous-Time: Cointegration and Exponential Utility....Pages 85-100
A Review of Modern Cryptography: From the World War II Era to the Big-Data Era....Pages 101-120
Modeling Supply Risk in the New Business Era: Supply Chain Competition and Cooperation....Pages 121-144
Front Matter....Pages 145-145
A Parameterized Method for Optimal Multi-Period Mean-Variance Portfolio Selection with Liability....Pages 147-166
Sparse and Multiple Risk Measures Approach for Data Driven Mean-CVaR Portfolio Optimization Model....Pages 167-183
Multistage Optioned Portfolio Selection: Mean-Variance Model and Target Tracking Model....Pages 185-216
Multi-Period Portfolio Selection with Stochastic Investment Horizon....Pages 217-241
Front Matter....Pages 243-243
A New Model and Method for Order Selection Problems in Flow-Shop Production....Pages 245-251
Quick Response Fashion Supply Chains in the Big Data Era....Pages 253-267
Front Matter....Pages 269-269
Optimization and Control for Systems in the Big Data Era: Concluding Remarks....Pages 271-276
Back Matter....Pages 277-280

✦ Subjects

Operation Research/Decision Theory;Optimization;Information Systems Applications (incl. Internet)