优化理论、方法及应用学术报告
报告一：
一、报告题目：Optimization Applications in Construction Management
二、报告人：广州大学吴昌质教授
三、报告时间：2019年3月28日（星期四）下午3:00-4:00
四、报告地点： best365在线官网登录入口会议室（慧智楼90510）
五、主讲人简介：
Changzhi Wu is professor in school of management at Guangzhou University. He completed his PhD in operations research at Zhongshan University in 2006. He joined Chongqing Normal University as a Lecturer in 2006 and then promoted as a Professor in 2009. In 2013, he joined Australian Joint Research Centre for Building Information Modelling at Curtin University as a senior research fellow and then as a senior lecturer. In 2019, he joined Guangzhou University as a professor in school of management. He is the managing editor of Journal of Industrial and Management Optimization. He serves as the guest editor of many international journals including Optimization Letters, Pacific Journal of Optimization and Applied Mathematical Modelling, as well as acted as stream chair or program member at numerous major international conferences. His main interests include both theoretical and practical aspects of optimization and optimal control and their applications in signal processing, civil engineering and construction management. He is the leading investigator for one grant from Australian Research Council and three grants from Natural Science Foundation of China. In addition, he has been as principle investigators for another three grants from Australian Research Council and one grant from Korean Science Foundation. He has published over 70 journal articles in high quality journals.
六、报告摘要
Construction industry is labor intensive. However, it is suffered from low productivity. With the labor cost increasing, many construction projects are suffered from cost blowouts. How to improve construction project productivity is urgent. In this project, we will talk about how to make use of optimization methods to solve some problems met in construction industry which can help to improve construction productivity. In particularly, we will talk about how to make use of optimization methods to improve RFID network planning, RFID for tracking. In addition, we will show how to utilize optimization methods to improve construction site logistics.
报告二：
一、报告题目：Switching Time and System Parameter Optimization in Nonlinear Switched Time-Delay Systems
二、报告人：澳大利亚Curtin University Kok Lay Teo教授
三、报告时间：2019年3月28日（星期四）下午4:00-5:00
四、报告地点： best365在线官网登录入口会议室（慧智楼90510）
五、主讲人简介：
Kok Lay Teo received his Ph.D. degrees in electrical engineering from the University of Ottawa, Canada. He was with the Department of Applied Mathematics, University of New South Wales, Australia, the Department of Industrial and Systems Engineering, National University of Singapore, Singapore, the Department of Mathematics, the University of Western Australia, Australia. In 1996, he joined the Department of Mathematics and Statistics, Curtin University of Technology, Australia, as Professor. He then took up the position of Chair Professor of Applied Mathematics and Head of Department of Applied Mathematics at the Hong Kong Polytechnic University, China, from 1999 to 2004. He returned to Curtin University as Professor and Head of the Department of Mathematics and Statistics from 2015 to 2010. He has been John Curtin Distinguished Professor at Curtin University since 2011. He was a member of the ARC's Mathematical, Information, and Computing Sciences Research Evaluation Committee for ERA 2010 and ERA2015. He has published 5 books and over 500 journal papers. He has a software package, MISER3.3, for solving general constrained optimal control problems. His editorial positions include serving as Editor-in-Chief of the Journal of Industrial and Management Optimization; Numerical Algebra, Control and Optimization; and Cogent Mathematics, and as a member of editorial board of a number of journals such as Automatica, Journal of Global Optimization, Journal of Optimization Theory and Applications, Optimization and Engineering, Discrete and Continuous Dynamic Systems, Optimization Letters, and Applied Mathematical Modelling. His research interests include both the theoretical and practical aspects of optimal control and optimization, and their practical applications such as in signal processing in telecommunications, and financial portfolio optimization.
六、报告摘要
This talk will discuss the problem of estimating unknown time-delays (both state- and input-delays) and unknown system parameters in a general nonlinear time-delay system. We propose a unified computational approach that involves solving a dynamic optimization problem, whose cost function measures the discrepancy between predicted and observed system output, to determine optimal values for the unknown quantities. We discuss two computational procedures for computing the partial derivatives of the cost function in this problem: one involves solving a set of auxiliary time-delay systems forward in time; the other involves solving an auxiliary “costate” system backwards in time. By combining either of these computational procedures with a standard gradient-based optimization algorithm, the optimal values for the unknown delays and system parameters can be obtained. Furthermore, this approach will be applied to the situation when the observed data is noisy. Finally, some real practical examples will e solved using the methods proposed.
