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 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
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