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Due to recent advancements of computational resources, engineers have been focusing not only in the solution of single or repetitive complex CAE analyses, but also in the development of a CAE optimization environment, which is capable to drive design parameters towards regions where selected characteristics of the project can be further improved. In the present work two cases are presented in order to illustrate, respectively, the application of a Multi-Objective optimization algorithm and a Robust Design Optimization technique in the design of real engine components. In the first example a Multi-Objective Genetic Algorithm is used in the optimization of a Conrod-Bearing, aiming to minimize its mass without endangering its performance when peak torque conditions are applied.