In order to improve the conceptual phase of vehicle development, this research is focused on the integration of simulation tools for the analysis of suspension system kinematics and of vehicle dynamics into multi-objective optimization tools. Using the simulation tools with a suitable degree of accuracy eliminates the need for building a vehicle prototype in the early stage of development, which reduces the development costs. Achieving optimal parameters of the vehicle at this stage of development reduces the probability of bad solutions or concepts. The development of a multi-objective optimization model, capable of handling a large number of variables, constraints, and objectives, is a prerequisite for a complete solution in the conceptual phase of vehicle development and vehicle systems development. The model should be developed by using modern evolutionary algorithms and vehicle dynamic simulation tools. In addition, relevant test procedures related to different aspects of vehicle dynamics and criteria for the evaluation of vehicle dynamic characteristics in numerical simulations should be selected. The application of the optimization model to the appropriate examples of vehicles will lead to the evaluation of algorithm applicability and the determination of the key parameters of algorithms which contribute to finding a set of optimal, numerically evaluated conceptual solutions that meet the requirements of the selected problems.