The increasing pressure on the engine development process via tighter legislations and increasing competition lead to search for the best possible design for each engine component. Especially the dynamic parts, which contribute to total engine friction at most, are under extreme focus. The search for the optimum layout of crankshafts considering the design aims, such as low friction, low weight and high durability, is usually a manual variation process with limited number of design loops. Within this study computer aided (CA) automated optimization methodologies are integrated into the design procedure to achieve the best possible design solution according to the objectives under consideration of the predefined constraints. An extensive crankshaft optimization study is performed and resulted in many novel and patented design features. A case study for a modern in-line four-cylinder crankshaft is performed to show the potentials. This includes the comparison of the variants within an advanced MBS dynamic fatigue analysis with FEV Virtual Engine.