Abstract
Systematic operations make modern wars more and more complicated, thus it is a challenge to design, develop, and select an excellent System-of-Systems. In this paper, we propose an equipment System-of-Systems architecture (ESoSA) formalization framework based on the super network and an architecture space searching algorithm. First, the formal definition of ESoSA and the problem of ESoSA space searching problem framework are introduced, where the searching problem is transferred into a multi-agent dynamic programming problem. Each agent searches for the optimal architecture in its corresponding architecture space, and different architecture spaces may overlap with each other. Second, the objective of the problem is to choose several optimal architectures with maximized sampling rewards and minimized cumulative searching costs. Third, a sequential search algorithm based on decision indicators is proposed to solve the problem. Finally, the proposed algorithm is evaluated by simulation experiments, where the experimental results show that the proposed algorithm is with high quality, and outperforms other benchmark algorithms.
Highlights
The interconnection between weapons has become more and more diverse currently [1]
According to the description of ESoSASSP in the previous section, the problem can be transferred as a formal multi-agent dynamic programming problem
In this paper, we propose a supernetwork-based equipment Systemof-Systems architecture (ESoSA) model with some prior knowledge and a multi-agent architecture space searching algorithm
Summary
The interconnection between weapons has become more and more diverse currently [1]. the widespread use of unmanned systems has led to major changes in the combat methods of modern warfare [2], [3], and it is a challenging issue to study warfare. Like building architecture to guide building construction, the ESoSA is used to guide the development of a specific ESoS. An formalized architecture model, a space exploration problem framework and a dynamic programming algorithm are proposed. The following challenges need to be solved: First, the potential capabilities of the architecture is uncertain. The uncertainty of the potential capabilities of the architecture exists and reflected in the two aspects: the task uncertainty and the diversity of component combinations, and some minor factors that is not considered in the design process. A novel architecture model and the ESoSA space searching problem are constructed, and a dynamic searching algorithm of architecture space is proposed. The ESoSA is constructed based on the equipment systems of the ESoS, that is, tasks, equipment systems, and command and control (C2) structures. The performance of DISS was tested and evaluated by experiments, where experimental results show that DISS is with high quality and outperforms other benchmark algorithms
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