2017 IEEE Symposium
on Computational Intelligence in Scheduling and Network Design (IEEE
CISND'17)
Symposium Description
The
2017 IEEE Symposium on Computational Intelligence in Scheduling and
Network Design (IEEE CISND'17) invites research on all aspects of
computational intelligence applied to scheduling and network design
problems. Due to their huge search spaces that have to be explored,
scheduling and network problems cannot usually be solved by exact
approaches. Therefore, significant research attention has been
attracted on exploring techniques in Computational Intelligence
(including evolutionary computation, neural networks, swarm
intelligence, fuzzy logic, and their hybridisations with classic
integer programming techniques like branch and bound, column
generations, branch and pricing, etc.).
Topics
This symposium aims to explore recent advances in this area. Topics include, but are not limited to, the following:
- Transportation Network Optimisation
- Communication Network Optimisation
- Generate Network Design Problems
- Supply Chain Optimisation
- Production Scheduling
- Personnel Scheduling
- Sports Scheduling
- Educational Timetabling
- Commercial Scheduling Packages
- Transport Scheduling
- Other scheduling problems
- Complexity Analyses in Scheduling
- Complexity Analyses in Network Design Problems
- Comparative Studies (e.g. compare Neural Networks with Fuzzy Logic; comparison of a meta-heuristic approach with a CI approaches)
- Interactive Scheduling using Computational Intelligence
- Experiences of CI within Scheduling
- Case Studies in Scheduling and Network Design
- Theoretical or empirical analysis of algorithms and representations for scheduling and network design
Accepted
Special Sessions
(To be announced)
Symposium Co-Chairs
 |
Ruibin Bai University of Nottingham Ningbo, China Email: ruibin.bai@nottingham.edu.cn |
 |
Rong Qu University of Nottingham, UK Email: rong.qu@nottingham.ac.uk |
Program Committee
- Ahmadi Samad, De Montfort University, UK
- Ayob Masri, University Kebangsaan Malaysia, Malaysia
- Bai Ruibin, University of Nottingham, UK
- Beullens Patrick, University of Portsmouth, UK
- Burke Edmund, University of Nottingham, UK
- Brucker Peter, University of Osnabruck, Germany
- Chiang Tsung-Che, National Taiwan Normal University, Taiwan
- Cicirello Vincent, Stockton College, USA
- De Causmaecker, Katholieke Universiteit Leuven, Belgium
- Dowsland Kathryn, Gower Optimal Algorithms Ltd, UK
- Duan Hai-Bin, Beihang University, China
- Erben Wilhelm, University of Applied Sciences, Germany
- Goh Chi Keong, Data Storage Institute, Singapore
- Gustafson Steven, GE Research, USA
- Jiao Licheng, Xidian University, China
- Kendall Graham, University of Nottingham, UK
- Kwan Raymond, University of Leeds, UK
- Landa-Silva Dario, University of Nottingham, UK
- Li Jingpeng, University of Stirling, UK
- Liu Dikai, University of Technology Sydney, Australia
- Liu Jiyin, Loughborough University, UK
- Madureira Ana, Instituto Superior de Engenharia do Porto, Portugo
- Meisels Amnon, Ben-Gurion University, Israel
- Musliu Nysret, Vienna University of Technology, Austria
- Ouelhadj Djamila, University of Portsmouth, UK
- Pesch Erwin, Universitat Siegen, Germany
- Petrovic Sanja, University of Nottingham, UK
- Ribeiro Celso, Catholic University of Rio de Janeiro, Brazil
- Rudova Hana, Masaryk University, Czech Republic
- Schaerf Andrea, University of Udine, Italy
- Sevaux Marc, Universite de Bretagne-Sud, France
- Shen Yindong, Huazhong University of Science and Technology, China
- Soubeiga Eric, KPMG UK, UK
- Stein W. Wallace, Norwegian School of Economics, Norway
- Tan Kay Chen, National University of Singapore, Singapore
- Thompson Jonathan, Cardiff University, UK
- Tom Van Woensal, Technische Universiteit Eindhoven, Netherlands
- Trick Michael, Carnegie Mellon University
- Tsang Edward, University of Essex, UK
- Greet Vanden Berghe, KaHo St.-Lieven, Belgium
- Voss Stefan, University of Hamburg, Germany
- Woodward John, University of Stirling, UK
- Wright Mike, Lancaster University, UK
- Zhan Justin, Carnegie Mellon University, USA
- Zinder Yakov, University of Technology, Sydney, Australia