A multi-objective optimization approach for analysing and architecting system of systems

Electromobility is often associated with a limitation of the usual mobility. Original Equipment Manufacturers (OEM) try to reduce the drawbacks and to generate an added value by networking Electric Vehicles (EV) with other electric power systems. This corresponds to the concept of System of Systems (SoS). The characteristics of these are distinguished with the autonomy of the constituent systems, an evolutionary development and an emergent behavior of the SOS. Due to a high number of variants of constituent systems with different technical properties, the architecture process is a combinatorial optimization problem. Since traditional architecting methods are focused on stand-alone systems, they are not appropriate for developing those combinatorial SoS architectures. As a result, there is a need for a better architecting methodology, which reflects the SoS specific characteristics within the developing process. This paper presents a new methodology for searching, assessing and optimizing SoS architectures based on a genetic algorithm. The new methodology has been applied to a scenario of an energetic EV integration into a smart home environment.