CISCHED 2013 - IEEE Symposium on Computational Intelligence in Scheduling

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Category CISCHED 2013

Deadline: October 10, 2012 | Date: April 15, 2013-April 19, 2013

Venue/Country: Singapore, Singapore

Updated: 2012-06-07 19:36:06 (GMT+9)

Call For Papers - CFP

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

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