Research Areas & Applications

RESEARCH

The activities of our group can be summarized in the following research lines:

• Supervised Neural Networks [+info] [Show publications]
• Unsupervised Neural Networks [+info] [Show publications]
• Fuzzy Systems [+info] [Hide publications]
• Genetic Algorithms and Evolutionary Strategies [-info] [Show publications]

Research at SOCO in the fields of Genetic Algorithms (GA) and Evolutionary Strategies (ES) focuses on two main areas:

• The conception and development of the idea of Meta-Building Block (MBB) for GAs. A MBB codes for a conventional BB with a shorter length, thus reducing the total chromosome length.

• The development of a training algorithm for Multilayer Perceptrons (MLP) based on ES.
• Support Vector Machines [+info] [Show publications]
• Feature Selection and Extraction [+info] [Show publications]
• Pattern Recognition and Computer Vision [+info] [Show publications]
• Data and Knowledge Visualization [+info] [Show publications]

The first five describe methodologies with a similar goal: the resolution of complex problems that cannot be efficiently solved by means of traditional computational methods (hard computing). Feature Selection and Extraction deals with problems of data dimensionality reduction that are present in all the previous lines. Finally, Pattern Recognition and Computer Vision copes with a huge application field where the performance of AI systems is usually worse than the human one, and where the soft computing techniques have great potential. Related to it, Data and Knowledge Visualization concerns ways in which Soft Computing complements human vision in problems of exploratory Data Mining.

Please follow the links for further description.

APPLICATIONS

SOCO currently works in a number of applications of these methodologies, which are summarized next:

[Show publications]

• Biomedical Applications [+info]
• Industrial and Environmental Applications [+info]
• Business Applications [+info]
• Social Sciences Applications [+info]

Please follow the links for further description.