2013 - CIDUE 2013 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments

CIDUE 2013
2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments
Computational Intelligence (CI) methodologies, including evolutionary algorithms, neural networks and fuzzy systems have shown to be sell suited to deal with significant uncertainties that may be encountered in solving real-world problems. The purpose of this symposium is to bring together scientists, engineers, and graduate students to present and discuss recent advances in employing CI for solving scientific and engineering problems in the presence of uncertainties.

Topics
Topics of the interest include but are not limited to:

Evolutionary computation in dynamic and uncertain environments
Use of surrogates for single and multi-objective optimization
Search for robust solutions over space and time
Dynamic single and multi-objective optimization
Handling noisy fitness functions
Learning and adaptation in evolutionary computation
Learning in non-stationary and uncertain environments
Incremental and lifelong learning
Online and interactive learning
Dealing with catastrophic forgetting
Active and autonomous learning in changing environments
Ensemble techniques
Multi-objective learning
Hybrid methodologies for dealing with uncertainties
Interactions of evolution and learning in changing environments
Benchmarks, performance measures, and real-world applications
Call for Keynote, Tutorial and Panel Session Proposals
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.

Call for Special Session Proposals
Please forward your special session proposals to Symposium Co-Chairs.

Symposium Co-Chairs
Yaochu Jin, University of Surrey, UK
Shengxiang Yang, Brunel University, UK
Robi Polikar, Rowan University, USA

Program Committee (Provisional)
Cesare Alippi, Politecnico di Milano, Italy
Dirk Arnold, Dalhousie University, Canada (TBC)
Hans-Georg Beyer, Vorarlberg University of Applied Sciences, Austria (TBC)
Gavin Brown, University of Manchester, UK
Tim Blackwell, Goldsmiths College London, UK (TBC)
Juergen Branke, University of Warwick, UK
Hui Cheng, University of Leicester, UK
Ernesto Costa, University of Coimbra, Portugal
Jing Gao, University of Illinois, Urbano Champaign, USA (TBC)
Chi-Keong Goh, Data Storage Institute, Singapore
Abdelhamid Bouchachia, University of Klagenfurt, Austria
Haibo He, University of Rhode Island , USA
Ivan Koychev, Bulgarian Academy of Sciences, Bulgaria
Xiaodong Li, RMIT University, Australia (TBC)
Yan Meng, Stevens Institute of Technology, USA
Ferrante Neri, University of Jyvaskyla, Finland
Yew-Soon Ong, Nanyang Technological University, Singapore (TBC)
Hendrik Richter, University of Leipzig, Germany
Philipp Rohlfshagen, University of Birmingham, UK
Moamar SAYED MOUCHAWEH, Université de Reims, France
Richard Stapenhurst, University of Manchester, UK
Kay Chen Tan, National University of Singapore, Singapore (TBC)
Renato Tinos, Universidade de Sao Paulo, Brazil (TBC)
Sima Uyar, Istanbul Technical University, Turkey (TBC)
Hongfeng Wang, Northeastern University, China
Jeremy Watts, University of Birmingham, UK
Qingfu Zhang, University of Essex, UK
Indrė Žliobaitė, Vilnius University, Lithuania