Events

Invited Research Lecture on Industrial Applications of Evolutionary Computation and Metaheuristics for Scheduling Problems

Date: 04 Jul 2008 - 04 Jul 2008

Venue: Auditorium, Level 3, Tower Block

Introduction
Lecture (1) : Industrial Applications of Evolutionary Computation - Turning Bio-inspired Ideas Into Competitiveness

Nature inspired computation is enjoying an incredible growth in the research world, evidenced by the huge number of technical publications each year. At the same time, it is also achieving commercial successes quietly. This talk will introduce some of the industrial projects that have been done at the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), University of Birmingham, UK. Three major areas will be highlighted: Adaptive Optimisation, Data Mining and Machine Learning, and Creative Design. Some lessons learned in working with industry and businesses will also be discussed. Finally, some potential opportunities for commercial exploitation of nature inspired computation technologies will be mentioned.

 

Lecture (2) : Metaheuristics for Scheduling Problems and Some Practical Issues

In this presentation, metaheuristic algorithms for various scheduling problems are briefly summarized and some practical issues are addressed. In particular, the presentation focus on single machine scheduling problems with flowtime-based and due date-based performance measures, single machine scheduling problems with sequence dependent setup times, permutation flowshop scheduling with makespan and total flowtime criterion, no-wait flowshop scheduling with both makespan and total flowtime criterion, and the blocking flowshop scheduling with makespan criterion. The applicability of the heuristic and evolutionary methods to the real-world problems is of significant importance to the industrial managers on which there has been a debate over years. The development in the IT technology and the growing number of professional ERP
software in the international market as well as the tough competition in the international markets has already urged industrial practitioners focus on the possible use and implementation of the heuristic and evolutionary optimization algorithms in the industry. However, there seems to be a long way to go and large enough room to sit in this area due to the complexity of the real-world problems and environments.

 

About the Speakers
(1) Prof  Xin Yao : He is a Professor (Chair) of Computer Science at the University of Birmingham, UK. He obtained his BSc from the University of Science and Technology of China (USTC) in Hefei, China, in 1982, MSc from the North China Institute of Computing Technology in Beijing, China, in 1985, and PhD from USTC in Hefei, China, in 1990.
He was a postdoctoral research fellow at the Australian National University (ANU) in Canberra in 1990-91 and at CSIRO Division of Building, Construction and Engineering in Melbourne in 1991-92. He was a lecturer, senior lecturer and an associate professor at the University College, the University of New South Wales (UNSW), the Australian Defence Force Academy (ADFA) in Canberra in 1992-99. Attracted by the English weather, he moved to Birmingham on the April's Fool day in 1999 to take up a Chair of Computer Science.
Currently he is the Director of CERCIA (the Centre of Excellence for Research in Computational Intelligence and Applications, http:/www.cercia.ac.uk) at the University of Birmingham, UK, which is specialised in applied research and knowledge transfer. He is an IEEE Fellow and a Distinguished Lecturer of IEEE Computational Intelligence Society. He won the 2001 IEEE Donald G. Fink Prize Paper Award and several other best paper awards. He was a Cheung Kong Scholar (Changjian Chair Professor) of the Ministry of Education of China and a Distinguished Visiting Professor (Grand Master Chair Professorship) of the University of Science and Technology of China in Hefei, China. He is also an honorary visiting professor of three other universities in China. In his spare time, he does the voluntary work as the editor-in-chief of IEEE Transactions on Evolutionary Computation, an associate editor or editorial board member of eleven other journals, and the editor of the World Scientific book series on "Advances in Natural Computation". He has been invited to give more than 50 keynote and plenary speeches at conferences in 16 different countries. His major research interests include evolutionary computation, neural network ensembles, and their applications in optimisation, data mining and creative design. He has worked with many industrial companies in recent years. His research has been supported by ~GBP1 million per year external funding since 2003.

 

(2) Prof M. Fatih Tasgetiren : He graduated from Industrial Engineering Department of Istanbul Technical University (ITU) in Turkey. He obtained his MSc degree in Industrial Engineering from ITU, too. He continued his PhD in Istanbul University (IU) in Turkey. He obtained his PhD in Operations Management from IU. He has teaching certificates from both England and the USA. Furthermore, he had been a visiting professor in Auburn University, USA,  University of Alabama in Tuscaloosa, USA, and University of Puerto Rico in Mayaguez, USA. He is currently a faculty member in the Operations Management Department of the Sultan Qaboos University in the Sultanate of Oman. Dr. Fatih was actively involved in various industrial projects related to the development and implementation of Enterprise Resources Planning (ERP) systems. He had been a consultant to the Industrial Application Software (CANIAS ERP, www.canias.com) until 2005. He was actively involved in ERP implementations in several manufacturing companies in Turkey. Very recently in 2005, he supervised the development of an Advanced Planning and Scheduling (APS) module for the CANIAS ERP software, which is actively used in several companies in Turkey and Europe. His basic research interest has been in heuristic optimization applied to both discrete and continuous optimization problems. In particular, he works on the heuristic optimization and evolutionary computation applied to various scheduling problems such as single machine, permutation flowshop, no-wait flowshop, blocking flowshop, parallel machines and so on. 

 

Programme
2.00pm: Registration
2.15pm: Presentation by Prof Xin Yao 
3.15pm: Presentation by Prof M. Fatih Tasgetiren
4.15pm: Refreshment & Networking
5.00pm: End 

 

Who Should Attend
Senior management staff, R&D personnel, managers, engineers, scientists, analysts, academic staff and graduate students.

 

Registration
Pre-registration for the lecture is necessary. Admission is free. Seats are available on a first-come, first-served basis. All are welcome. 
To register, please email your particulars (Name, Designation, Organization Name) to EventsPostmaster@SIMTech.a-star.edu.sg