In the aerospace sciences, computational intelligence techniques are now key tools in addressing many problems. Such techniques have progressed along with increases in computing power, allowing numerical simulation to gradually replace experimental testing in many areas of engineering, and leading to an increasing use of nature-inspired numerical optimization methods to handle complex real world multidisciplinary design problems. Computational Intelligence in Aerospace Sciences introduces the fundamental concepts and methods used in single and multiobjective optimization, game theory, and uncertainty quantification before detailing techniques across four main areas: robotics multidisciplinary design aerodynamics space It provides practitioners with an overview of different computational intelligence techniques with aerospace applications, and aids newcomers to this field of research who are looking for fundamental information with advanced examples.