Efficient decision approaches for asset-based dynamic weapon target assignment by a receding horizon and marginal return heuristic

Kai Zhang, Deyun Zhou, Zhen Yang, Yiyang Zhao, Weiren Kong

科研成果: 期刊稿件文章同行评审

17 引用 (Scopus)

摘要

The weapon-target assignment problem is a crucial decision support in a Command and Control system. As a typical operational scenario, the major asset-based dynamic weapon target assignment (A-DWTA) models and solving algorithms are challenging to reflect the actual requirement of decision maker. Deriving from the “shoot–look–shoot” principle, an “observe–orient–decide–act” loop model for A-DWTA (OODA/A-DWTA) is established. Focus on the decide phase of the OODA/A-DWTA loop, a novel A-DWTA model, which is based on the receding horizon decomposition strategy (A-DWTA/RH), is established. To solve the A-DWTA/RH efficiently, a heuristic algorithm based on statistical marginal return (HA-SMR) is designed, which proposes a reverse hierarchical idea of “asset value-target selected-weapon decision.” Experimental results show that HA-SMR solving A-DWTA/RH has advantages of real-time and robustness. The obtained decision plan can fulfill the operational mission in the fewer stages and the “radical-conservative” degree can be adjusted adaptively by parameters.

源语言英语
文章编号1511
页(从-至)1-31
页数31
期刊Electronics (Switzerland)
9
9
DOI
出版状态已出版 - 9月 2020

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