CISched 2013

2013 IEEE Symposium on Computational Intelligence in Scheduling

The 2013 IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched 2013) 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:
    • Production Scheduling
    • Personnel Scheduling
    • Sports Scheduling
    • Educational Timetabling
    • Commercial Scheduling packages
    • Transport Scheduling
    • 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

Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Symposium Co-Chairs.

Symposium Co-Chairs

Rong Qu, University of Nottingham, UK

Ling Wang, Tsinghua University, China

Quanke Pan, Liaocheng University, China

Program Committee (tentative)

 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 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
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, Université de Bretagne-Sud, France
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
Voss Stefan, University of Hamburg, Germany
Woodward John, University of Nottingham, UK
Wright Mike, Lancaster University, UK
Zhan Justin, Carnegie Mellon University, USA
Zinder Yakov, University of Technology, Sydney, Australia