Annotation Computational Intelligence (CI) methodologies, including evolutionary algorithms, neural networks and fuzzy systems have shown to be sell suited to deal with significant uncertainties that may be encountered in solving real world problems The purpose of this symposium is to bring together scientists, engineers, and graduate students to present and discuss recent advances in employing CI for solving scientific and engineering problems in the presence of uncertainties