EMCI 2012 - Special Session on Ensemble Methods in Computational Intelligence

2012 IEEE World Congress on Computational Intelligence Special Session on:

Ensemble Methods in Computational Intelligence

June 10 - 15, 2012, Brisbane, Australia

Overview

Ensemble learning attempts to enhance the performance of systems (clustering, classification, prediction, feature selection, search, optimization, rule extraction, etc.) by using multiple models instead of using a single model. This approach is intuitively meaningful as a single model may not always be the best for solving a complex problem while multiple models are more likely to yield results better than each of the constituent models. Although in the past, ensemble methods have been mainly studied in the context of classification and time series prediction, recently they are being used in algorithms in other scenarios such as clustering, fuzzy systems, evolutionary algorithms, dimensionality reduction and so on.

The aim of this special session is to bring together researchers and practitioners who are working in the overlapping fields of ensemble methods and computational intelligence. Papers dealing with theory, algorithms, analysis, and applications of ensemble of computational intelligence methods are sought for this special session. Topics of interest include but are not limited to:

1. CEC topics:

? Ensemble of evolutionary algorithms
? Parameter and operator ensembles for evolutionary algorithms
? Hyper-heuristics
? Portfolio of algorithms and multi-method search
? Ensemble of evolutionary algorithms for optimization scenarios such as multi-objective, combinatorial, constrained, etc.
? Hybridization of evolutionary algorithms with other search methods & ensemble methods
2. Fuzz-IEEE Topics:

? Fuzzy ensemble clustering
? Fuzzy ensemble classifiers and fuzzy ensemble predictors
? Fuzzy ensemble feature selection/dimensionality reduction
? Aggregation operators for fuzzy ensemble methods
? Rough Set based ensemble clustering and classification
? Type-2 Fuzzy ensemble clustering and classification
3. IJCNN Topics:

? Ensemble methods such as boosting, bagging, random forests, multiple classifier systems, ensemble neural networks, mixture of experts, multiple kernels, etc.
? Ensemble methods for regression, classification, clustering, ranking, feature selection, etc.
? Issues such as selection of constituent models, fusion and diversity of models in an ensemble, etc.
4. Hybridization of neuro-fuzzy-evolutionary ensemble systems

5. Applications of ensemble of computational intelligence methods in any field

Paper Submission:

Manuscripts should be prepared according to the standard format and page limit of regular papers specified in WCCI 2012 and submitted through the web link at WCCI 2012. Please select "Sxxx: Ensemble Methods in Computational Intelligence" as the main research topic when submitting your manuscripts.

Special session papers will be treated in the same way as regular papers and included in the conference proceedings.

Important Dates:

For important dates such as Paper Submission deadline, Decision Notification, Final Camera-Ready Submission / Conference Registration, etc., please refer to WCCI 2012 web pages.
Technical Committee (Provisional):
Dr Ashish Anand, India
Dr. J Balasubramaniam, India
Dr S. Baskar, India
Prof .Marcin Blachnik, Silesian University of Technology, Poland
Dr. Gavin Cawley, University of East Anglia, UK
Dr. Jyh-Yeong Chang, Taiwan
Dr. Shyi-Ming Chen, Taiwan
Dr. I-F Chung, Taiwan
Dr. Swagatam Das, India
Dr Pradip Ghanty, India
Dr. Bea de la Iglesia, Univesity of East Anglia, UK
Dr. Amit Konar, India
Dr. Arijit Laha, India
Dr. Qiao Li, Imperial College, UK
Dr Jane J Liang, China
Dr. Daniel C. Neagu. University of Bradford, UK
Dr. Q-K Pan, China
Dr G. Pugalenthi, Kingdom of Saudi Arabia
Dr A. K. Qin, France
Dr. B-Y Qu, China
Dr Rammohan Mallipeddi, Korea
Dr. Jamil Al Shaqsi, Sultan Qaboos University, Oman
Dr Ke Tang, China
Dr M Fatih Tasgetiren, Turkey
Dr. Hujun Yin, University of Manchester, UK
Dr Shizheng Zhao, Singapore

Special Session Organizers:
P. N. Suganthan, Nanyang Technological University, Singapore, epnsugan-AT-ntu.edu.sg
N. R. Pal, Indian Statistical Institute (ISI), Kolkatta, India, nikhil-AT-isical.ac.in
Wenjia Wang, University of East Anglia (UEA), UK, Wenjia.Wang-AT-uea.ac.uk