CISND 2016 - 2016 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'16)
Topics/Call fo Papers
The 2016 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'16) 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.). 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
Special Sessions
You are welcome to propose special sessions. Please forward your proposal (a one-page abstract and the bio-sketches of the speakers) to one of the Symposium Co-Chairs below.
Organisers
Ruibin Bai
University of Nottingham Ningbo, China
Email: ruibin.bai-AT-nottingham.edu.cn
Rong Qu
University of Nottingham, UK
Email: rong.qu-AT-nottingham.ac.uk
Nelishia Pillay
University of KwaZulu-Nata, Durban
Email: pillayn32-AT-ukzn.ac.za
Hisao Ishibuchi
Osaka Prefecture University , Japan
Email: hisaoi-AT-cs.osakafu-u.ac.jp
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
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
Special Sessions
You are welcome to propose special sessions. Please forward your proposal (a one-page abstract and the bio-sketches of the speakers) to one of the Symposium Co-Chairs below.
Organisers
Ruibin Bai
University of Nottingham Ningbo, China
Email: ruibin.bai-AT-nottingham.edu.cn
Rong Qu
University of Nottingham, UK
Email: rong.qu-AT-nottingham.ac.uk
Nelishia Pillay
University of KwaZulu-Nata, Durban
Email: pillayn32-AT-ukzn.ac.za
Hisao Ishibuchi
Osaka Prefecture University , Japan
Email: hisaoi-AT-cs.osakafu-u.ac.jp
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
Other CFPs
- 2016 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems
- 2016 IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2016)
- 2016 IEEE Symposium on Deep Learning (IEEE DL'16)
- 2016 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS 2016)
- 2016 IEEE Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition (IEEE CIFSLIP'16)
Last modified: 2016-01-11 21:29:39