Design Space Exploration of Complex Equipment System-of-systems for Overall Performance Improvement during Long-term Evolution

The difficult model representation, poor coordination matching and insufficient exploration trade-off between the overall combat capability and the single equipment capability improvement exist in the long-term evolution process of complex equipment system-of-systems (CESoSs), Focusing on the problems above, a design space exploration method of CESoSs for long-term evolution overall performance improvement is proposed. The main challenges of CESoSs in the long-term evolution process are described. On this basis, a coupling optimization model considering the single equipment performance and the overall capacity is constructed. In the model, the capacity change, SoSs resilience and equipment cost before and after the new equipment is integrated into the existing SoSs are taken as the objective functions, and the use of the existing equipment, the indicators of the new equipment and the synergy between the two are taken as the design variables. In view of the uniqueness of design variables and the high-dimensionality of solution space, the multi-granular coding non-dominated sorting genetic algorithm Ⅲ (NSGA-Ⅲ) is used to explore and solve the design space of CESoSs. The case verification results show that the proposed model effectively realizes the optimization solution of CESoSs design scheme under long-term evolution, fully excavates the overall potential of SoSs combat capability, and provides a solid theoretical framework for the future development of equipment SoSs design.