Applications of Fuzzy logic and evolutionary algorithms
Dr. Sergio Damas
The main aim of this research unit is to propose new methodologies to tackle complex real-world problems by means of either evolutionary algorithms (EAs) or fuzzy logic (FL) and fuzzy systems (FSs) in isolation or by their hybridization.
FL extends classical logic to provide a conceptual framework for knowledge representation under imprecision and the consequent uncertainty, while an FS is any kind of FL-based system using FL for knowledge representation and approximate reasoning. On the other hand, EAs are a kind of learning and optimization algorithms based on computational models of evolutionary processes.
To our mind, the combination of FL and FSs ability to model real-world phenomena presenting uncertainty and vagueness, and the search and knowledge discovery capability of EAs can be of help to solve some problems where either classical techniques can not been applied or they can be outperformed by intelligent techniques of the latter kind.
This research unit is active at the European Centre for Soft Computing since April, 2006. It is currently composed of six researchers: Dr. Oscar Cordón (Principal researcher), Dr. Sergio Damas (Associate researcher), Dr. Arnaud Quirin (Postdoctoral researcher), Dr. Prakash Shelokar (Postdoctoral researcher), Mr. Oscar Ibáñez (Research assistant) and Mr. Krzysztof Trawinski (Research assistant).