A manual iterative process is often used in the design process of vehicle suspension systems. This thesis aim to develop a methodology for multidisciplinary optimization of vehicle suspension systems, which can be used to introduce an optimization driven process into the design process of vehicle suspension systems. A Multibody Dynamics (MBD) model of a Strut & Coil Spring suspension system will be used as a test subject. The methodology developed includes concept screening of suspension systems, multi-objective system optimization and weight reduction using structural optimization. The initial concept screening will provide guidance to selection of important design variables. Ride comfort, handling performance, and noise, vibration, and harshness (NVH) are optimized in the multi-objective system optimization, using the Multi-Objective Genetic Algorithm (MOGA) combined with a Design Space Reduction Method (DSRM).Today, experienced engineers use their prior knowledge to create an initial ”best-guess” vehicle suspension design. This design is then iteratively improved in a manual process until it satisfies the design goals. This process is time consuming and can be improved by introducing an optimization driven design process, which replaces the manual iterative work
