Complex Systems Architecture Framework. Extension to Multi-Objective Optimization

Abstract. This paper shows the utility to follow an architecture framework in order to design complex systems with a holistic approach. Multi-objective Optimization techniques extend and complete the architecture framework to support trade-off analysis and decision making in the Systems Engineering design process. The merging and combination of these two approaches, decision making and systems engineering, contribute to the efficient design of systems by helping to meet needs and constraints stemming mainly from the system analysis. To support this assertion, we present a case study for an Electric Vehicle Powertrain. The decision problem is modeled as a Pareto model, in order to find a solution for the Electric Vehicle Powertrain that maximizes its autonomy and minimizes its total cost of ownership