A dynamic weapon target assignment based on receding horizon strategy by heuristic algorithm. (November 2020)

• Record Type: Journal Article
• Authors: Zhang, Kai; Zhou, Deyun; Yang, Zhen; Li, Xiaoyang; Zhao, Yiyang; Kong, Weiren
• Is Part Of: Journal of physics. Volume 1651(2020)
• Publication Date: 2020-11
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1651/1/012062
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Weapon-target assignment problem is the crucial decision support in Command & Control system. As a typical operational scenario, asset defense has less research on the issue of asset-based dynamic weapon target assignment, and the major models of A-DWTA are challenging in practical application. In this paper, an A-DWTA model is first established by receding horizon decomposition strategy, which closely reflects the operational requirement. Then a heuristic algorithm based on statistical marginal return is proposed to solve the A-DWTA model. Experimental results show that the proposed algorithm for solving the A-DWTA model has advantages of real-time and robustness. The obtained decision plan can complete the operational mission in fewer stages and be adjusted adaptively by model and algorithm parameters.