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)

Hamid Bouchachia	University of Klagenfurt, Austria
Anabela Simoes	University of Coimbra, Portugal
Peter Bosman	Centrum voor Wiskunde en Informatica, the Netherlands
Ke Tang	University of Science and Technology of China, China
David Pelta	University of Granada, Spain
Ponnuthurai Suganthan	Nanyang Tech. University, Singapore
Manuel Roveri	University of Pisa, Italy
Albert Bifet	University of Waikato, New Zealand
Gregory Ditzler	Drexel University, USA
Cesare Alippi	Politecnico di Milano, Italy
Juergen Branke	University of Wawick, UK
Hui Cheng	University of Bedfordshire
Chi-Keong Goh	Rolls-Royce Advanced Technology Centre, Singapore
Haibo He	University of Rhode Island, USA
Ivan Koychev	Bulgarian Academy of Sciences, Bulgaria
Xiaodong Li	RMIT University, Australia
Yew-Soon Ong	Nanyang Tech. University, Singapore
Hendrik Richter	Leipzig University of Applied Sciences
Philipp Rohlfshagen	University of Essex, UK
Moamar SAYED MOUCHAWEH	URCA, France
Qingfu Zhang	University of Essex, UK
Indrė Žliobaitė	Bournemouth University, UK
Shengxiang Yang	Brunel University, UK
Robi Polikar	Rowan University, USA
Yaochu Jin	University of Surrey, UK
Kay Chen Tan	National University of Singapore, Singapore
A. Sima Etaner-Uyar	Istanbul Technical University, Turkey
Dirk V. Arnold	Dalhousie University, Canada
Yingjie Yang	De Montfort University, UK
Jinliang Ding	Northeastern University, China
Xiaochuan Luo	Northeastern University, China
Shengping Yu	Northeastern University, China
Bin Li	University of Science and Technology of China, China
Carlos Coello Coello	CINVESTAV-IPN, Mexico
Swagatam Das	Indian Statictical Institute, India
Changhe Li	China University of Geosciences, China
Sanyou Zeng	China University of Geosciences, China
Xiaoyan Sun	China University of Mining and Technology
Dunwei Gong	China University of Mining and Technology
Maoguo Gong	Xidian University, China
Chuan-Kang Ting	National Chung Cheng University, ROC
Shih-Hsin Chen	Nanhua University, ROC
Aimin Zhou	East China Normal University, China
Haibin Duan	Beihang University