2013 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA)

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.