Part of IEEE Symposium Series on Computational Intelligence 2011

The 2011 IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched 2011) invites research on all aspects of computational intelligence applied to scheduling problems. Due to their huge search spaces that have to be explored, scheduling 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 hybridizations, etc.). This symposium aims to explore recent advances in this area.


Topics include, but are not limited to, the following:

* Computational Intelligence in:
o Production Scheduling
o Personnel Scheduling
o Sports Scheduling
o Educational Timetabling
o Commercial Scheduling packages
o Transport Scheduling
o Other scheduling problems
* Complexity Issues in scheduling
* Comparison of Techniques (e.g. compare Neural Networks with Fuzzy Logic; comparison of a meta-heuristic approach with a CI approach)
* Interactive Scheduling using Computational Intelligence
* Experiences of CI within Scheduling
* Case Studies
* Theoretical or empirical analysis of evolutionary algorithms and representations for scheduling


Symposium Co-Chairs

Rong Qu, University of Nottingham, UK
Ender Ozcan, University of Nottingham, UK
Michel Gendreau, École Polytechnique de Montréal, Canada


Program Committee (tentative)

Ahmadi Samad, De Montfort University, UK
Ayob Masri, University Kebangsaan Malaysia, Malaysia
Bai Ruibin, University of Nottingham, UK
Burke Edmund, University of Nottingham, UK
Brucker Peter, University of Osnabruck, Germany
Chiang Tsung-Che, National Taiwan 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 Nottingham, 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
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
Shen Yindong, Huazhong University of Science and Technology, China
Soubeiga Eric, KPMG UK, UK
Tan Kay Chen, National University of Singapore, Singapore
Thompson Jonathan, Cardiff University, UK
Trick Michael, Carnegie Mellon University
Tsang Edward, University of Essex, UK
Greet Vanden Berghe, KaHo St.-Lieven, Belgium
Woodward John, University of Nottingham, UK
Wright Mike, Lancaster University, UK
Zhan Justin, Carnegie Mellon University, USA
Zinder Yakov, University of Technology, Sydney, Australia