2013 - HIMA 2013 2013 IEEE Workshop on Hybrid Intelligent Models and Applications

HIMA 2013

2013 IEEE Workshop on Hybrid Intelligent Models and Applications

The International workshop will consist of papers describing research work that integrate different Computational Intelligence (CI) methodologies for the development of hybrid intelligent systems. CI methodologies at the moment include (at least) Neural Networks, Fuzzy Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use of intelligent techniques, like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However, the performance of any of these techniques can be improved, in many situations, by using them in conjunction with other techniques. For example, genetic algorithms can be used to optimize the design of a neural network for time series prediction, or fuzzy logic can be used to combine the information from expert neural modules, just to mention two cases. Also, mathematical methods, like the ones from Chaos and Fractal Theory, can be used in conjunction with intelligent techniques to improve the performance of hybrid systems for real-world applications. The main problem in this area is how to make a prudent combination of CI methodologies to build hybrid intelligent models that can outperform the results produced by the individual intelligent methods. The international workshop will consist of papers addressing these hybrid approaches and similar ones, either theoretically or for real-world applications. The workshop is intended primarily for researchers and graduate students working on these research areas.

Topics

The main topics of interest are:

Successful new applications to real-world problems of Hybrid Intelligent Systems (HIS) that are found to achieve better results than conventional techniques. In this case, special attention should be given to the metrics used to compare HIS techniques with conventional ones.
Developments of innovative hybrid methods combining CI techniques and conventional techniques. In this case, the problems to be considered in these papers may not be as complex as the ones in the previous point, but the authors have to explain very carefully how their proposed method could be used, in the future, to solve real-world problems.
Papers considering original research on new HIS architectures, models or techniques, in this case authors would have to make a detailed description of how their proposed approach is compared with other related approaches.
Specifically the workshop will focus on, but not limited to, the following topics:

Genetic Algorithm for Fuzzy System Optimization
Genetic Algorithms for Neural Network Optimization
Neuro-Fuzzy-Genetic Approaches
Hybrid Intelligent Systems for Pattern Recognition
Hybrid Modular Neural Networks
Neuro-Fuzzy Models and Applications
Genetic Algorithms for Hybrid Intelligent Systems Design
Genetic Fuzzy Systems
Genetic Neural Systems
Hybrid Evolutionary Algorithms
Ant Colony for Neural Network Optimization
Type-2 Fuzzy Logic in Neural Networks Design
Type-2 Fuzzy Logic in Evolutionary Algorithms
Chaos Theory in Genetic Algorithms

Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Workshop Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Workshop Co-Chairs.

Workshop Co-Chairs

Patricia Melin, Tijuana Institute of Technology, Mexico
Sanghamitra Bandyopadhyay, ISI-Kolkatta, India

Program Committee (tentative)

Oscar Castillo, Tijuana Institute of Technology, Mexico
Roseli A. Francelin Romero, University of Sao Paulo, Brazil
Eduardo Gomez-Ramirez, La Salle University, Mexico
Kaoru Hirota, Tokyo Institute of Technology, Japan
Janusz Kacprzyck, Polish Academy of Sciences, Poland
Nadia Nedjah, State University of Rio de Janeiro, Brazil
Witold Pedrycz, University of Alberta, Canada
Ronald R. Yager, Iona College, USA
Vladik Kreinovich, University of Texas, El Paso, USA
Jacek Zurada, University of Louisville, USA