IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) 2010

The wide and increasing needs of adaptable and flexible solutions for many industrial, environmental, and engineering applications point out the importance of using design methodologies and implementation technologies with high ability of adaptation and evolution. Soft computing is one of the most relevant answers to such needs: neural networks, fuzzy logic, and genetic/evolutionary algorithms are fundamental keys to tackle these difficult problems.