Intelligent Collaborative Architecture Design based on Unmanned Combat Swarm

As unmanned and systematic operational becomes more and more complex, unmanned combat architecture design plays an increasingly important role in the war. However, there is no swarms resource sharing system built to meet the needs of more complex swarms task. To address this challenge, we propose a combat architecture model and an algorithm to explore the architecture solution space. An unmanned operational architecture model based on hyper network (Unmanned combat system-of-system architecture model, USoSAM). We propose an exploration architecture algorithm based on tabu search, which simultaneously introduces efficiency, cost, and time evaluation architecture. Finally, a benchmark case is used to verify the effectiveness of the combat network architecture model based on abstraction. The results show that the improved algorithm proposed in this paper has obvious advantages over other classical algorithms, and the optimized architecture can provide better decisions for commanders.