Abstract
Combat mission system is an organic combination of scheduling command system and collaborative control system. The integrity and reliability of the system not only depend on the optimal control algorithm used by the system but also depend on the reasonable scheduling combination of battlefield resources. In this paper, the combat capability load fitness function, the scheduling strategy model integrated with the combined clustering method, and the code association structure model are proposed. The simulation results show that this method can accelerate the convergence speed of the algorithm, optimize the objective function of the model, cluster and combine the platform equipment set well, and improve the robustness of the model and the effectiveness of the battlefield application under different mission sizes.
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Li, J., Wang, P., Li, X., lv, Z., Fu, B. (2021). Research and Application of Clustering Algorithm in Battlefield Scheduling Genetic Optimization. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_53
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DOI: https://doi.org/10.1007/978-981-15-5887-0_53
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