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 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.
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Members of SOCO have also been involved in applied research on social sciences, including