English Version

首页» Home» News and Events

IEEE CASE 2017 Workshop: Data Analytical Approach for Large-scale Optimization


Abstract:

Discrete event systems (DES) have become pervasive in our daily life. Examples include but are not restricted to manufacturing, telecommunication, supply chain, transportation, healthcare, call center, and finance systems. Stochastic simulation is a powerful modeling and software tool for analyzing these modern complex systems. Optimization involving millions or even billions of decision variables and constraints has become possible with the advent of modern computing. The combination of these two successful paradigms, called Stochastic Simulation Optimization, has become dramatically powerful for DES. However, computational efficiency is still a big concern because i) in the optimization process, many alternative designs need to be simulated; ii) to obtain a sound statistical estimate, a large number of simulation runs (replications) is required for each design alternative. A user may be forced to compromise on simulation accuracy, modeling accuracy, and the optimality of the selected design.

         

Large-scale optimization problems arise naturally and in increasingly large numbers, due to the sheer complexity of today’s world. Advanced technology is now available for the collection and conversion of information into data that is needed to populate mathematical models. Meanwhile, there is a genuine demand that is calling upon us in academia to provide new methodology and efficient tools that are capable of handling the sophistication and dimensionality of these optimization problems. With that in mind, this workshop aims to advance the methodology and performance of solving large-scale optimization problems both in theory and in practice.

Professor Leyuan Shi  is turning 60 this year, which is a big event according to Chinese tradition. Some of her former students who are very active in the automation, control, and systems community felt compelled to organize a workshop dedicated to her. This workshop presents basic ideas, important fundamentals, and the state-of-the-art, and discusses some of the future research directions in large-scale optimization and stochastic simulation. Moreover, there are many “lessons to be learned” (especially for younger researchers) on how research should be conducted and how fundamental problems in emerging areas should be analyzed, something Prof. Shi has taught many of us with her unique perspective on the interplay between theory and applications.

 

                                                                         


 

 

Type:                       Workshop

Duration:                Full Day

Date:                       August 20, 2017

Location:                Xi’an, China

Workshop title:       Data Analytical Approach for Large-scale Optimization

Organizers:               Zhongshun Shi, Research Associate

                                Department of Industrial and Systems Engineering

                                University of Wisconsin–Madison

                                E-mail: zhongshun.shi@wisc.edu

Phone: +86-18612452253

 

Yu Zhao, PhD

Department of Industrial Engineering & Management

                                Peking University

                                E-mail: zhaoyupku@pku.edu.cn

Phone: +86-18811791638

 

Weiwei Chen, Assistant Professor

Rutegers Business School

Rutgers University

E-mail: wchen@business.rutgers.edu

Phone: +1-9733533442

 

Siyang Gao, Assistant Professor

Department of Systems Engineering and Engineering Management

City University of Hong Kong

E-mail: siyangao@cityu.edu.hk

Phone: +852-34424759



List of speakers:           


  1. Dr. Xiaohong Guan, Professor of Xi’an Jiaotong University, China.

      2Dr. Chun-Hung Chen, Professor of George Mason University, USA.

      3Dr. Jingshan Li, Professor of University of Wisconsin–Madison, USA.

      4Dr. Loo Hay Lee, Associate Professor of National University of Singapore, Singapore.

      5Dr. Weiwei Chen, Assistant Professor of Rutgers University, USA.

      6. Dr. Siyang Gao, Assistant Professor of City University of Hong Kong, HK, China.

      7. Dr. Qingshan Jia, Associate Professor of Tsinghua University, China.

      8. Dr. Li Xia, Associate Professor of Tsinghua University, China.

      9. Dr. Canrong Zhang, Associate Professor of Tsinghua University, China.

     10.Dr. Xi Zhang, Associate Professor of Peking University, China.

     11.Dr. Xiaoyun Xu, Associate Professor of Peking University, China.

     12.Dr. Jie Song, Associate Professor of Peking University, China.

     13.Dr. Jianguo Wu, Assistant Professor of Peking University, China.

     14.Dr. Yijie Peng, Assistant Professor of Peking University, China.

     15.Dr. Zhongshun Shi, Research Associate of University of Wisconsin–Madison, USA.


List of topics and their descriptions:


The goal of this workshop is mainly to present the data analytical methodologies for large-scale optimization. Interested topics include (but not limited to):

1.        Simulation optimization

2.        Mathematical programming

3.        Exact optimization algorithms: branch-and-bound, polyhedral approaches, decomposition-based methods, reformulations

4.        Heuristics, meta-heuristics, matheuristics and model based metaheuristics for integer linear programming and combinatorial optimization

5.        Real-world applications in industry and services: operations management, supply chain management, scheduling, production management and distribution, warehousing, healthcare

6.        Optimization software and decision support systems


Expected participants and their background:


      1.       Xiaohong Guan(Xi’an Jiaotong University, China)

Dr. Xiaohong Guan is the Professor of Automation Science and Engineering at Xi’an Jiaotong University, China.

      2.       Chun-Hung Chen (George Mason University, USA)

Dr. Chun-Hung Chen is the Professor of Systems Engineering & Operations Research at George Mason University, USA.

        3.     Jingshan Li(University of Wisconsin - Madison, USA)

Dr. Jingshan Li is the Professor of Industrial and Systems Engineering at University of Wisconsin - Madison, USA.

      4.     Loo Hay LeeNational University of Singapore

Dr. Loo Hay Lee is the Associate Professor of Industrial Systems Engineering and Management at National University of Singapore.

      5.      Weiwei Chen (Rutgers University, USA)

Dr. Weiwei Chen is the Assistant Professor of Supply Chain Management at Rutgers University, USA.

      6.      Siyang Gao (City University of Hong Kong, HK, China)

Dr. Siyang Gao is the Assistant Professor of Systems Engineering and Engineering Management at City University of Hong Kong, HK, China.

      7.     Qingshan Jia (Tsinghua University, China)

Dr. Qingshan Jia is the Associate Professor of Automation Science and Engineering at Tsinghua University, China.

      8.      Li Xia (Tsinghua University, China)

                DrLi Xia is the Associate Professor of Automation Science and Engineering at Tsinghua University, China.

        9.    Canrong Zhang (Tsinghua University, China)

Dr. Canrong Zhang  is the Associate Professor of  Division of Logistics & Transportation at Tsinghua University, China.

    10.     Xi Zhang (Peking University, China)

Dr. Xi Zhang is the Associate Professor of Industrial Engineering and Management at Peking University, China.

    11.    Xiaoyun Xu (Peking University, China)

Dr. Xiaoyun Xu is the Associate Professor of Industrial Engineering and Management at Peking University, China.

    12.    Jie Song (Peking University, China)

Dr. Jie Song is the Associate Professor of Industrial Engineering and Management at Peking University, China.

    13.    Jianguo Wu (Peking University, China)

Dr. Jianguo Wu is the Assistant Professor of Industrial, Manufacturing and Systems Engineering at Peking University, China.

    14.    Yijie Peng (Peking University, China)

Dr. Yijie Peng is the Assistant Professor of Industrial, Manufacturing and Systems Engineering at Peking University, China.

    15.    Zhongshun Shi (University of Wisconsin–Madison, USA)

Dr. Zhongshun Shi is the Research Associate of Industrial and Systems Engineering at University of Wisconsin–Madison, USA.

    16.    Cheng Zhang (Peking University, China)

Cheng Zhang is the PhD candidate of Industrial Engineering and Management at Peking University, China.

    17.    Yu Zhao (Peking University, China)

Yu Zhao is the PhD candidate of Industrial Engineering and Management at Peking University, China.

    18.    Zewen Huang (Peking University, China)

Zewen Huang is the PhD candidate of Industrial Engineering and Management at Peking University, China.


Related workshops title in previous CASE/ICRA/IROS:

 

Workshop on “Stochastic Simulation Optimization for Discrete Event Systems – Perturbation Analysis, Ordinal Optimization, and Beyond” at IEEE CASE 2013.