Exploration of Transformations between Fuzzy and Evolutionary Techniques

This work addressed a search and validation of transformations between the Fuzzy Computing and the Evolutionary Computing domains, which are useful for hybrid systems development in which both methodologies skills can be used in a more intrinsic way, transforming fuzzy elements into evolutionary elements and vice-versa. To validate such transformations, an entire fuzzy knowledge base of a mobile robot controller was designed and further tuned through a genetic algorithm, and the results were presented. With the developed approach, it also became possible to add new behaviors to an existent controller, which can be useful when new situations need to be handled.