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Dynamic Task Allocation Method for UAV Air‐to‐Ground Strike Based on Double‐Layer Situation Assessment.

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Title: Dynamic Task Allocation Method for UAV Air‐to‐Ground Strike Based on Double‐Layer Situation Assessment.
Authors: Liu, Hu1 (AUTHOR), Liu, Mukun1 (AUTHOR), Tian, Yongliang1 (AUTHOR) tianyongliang_buaa@163.com, Huang, Minjie1 (AUTHOR), Guo, Qiang1 (AUTHOR), ZHAO, Changxiao1 (AUTHOR) cxzhao@cauc.edu.cn
Source: International Journal of Aerospace Engineering. 5/16/2026, Vol. 2026, p1-20. 20p.
Subjects: Bayesian analysis, Multi-objective optimization, Search & rescue operations, Aerial bombing, Analytic hierarchy process, Entropy (Information theory)
Abstract: To address the challenges of battlefield search and rescue (SAR) scenarios, the paper proposes a task allocation method for unmanned aerial vehicle (UAV) air‐to‐ground strike. The method decomposes the key process of task allocation into three phases: comprehensive situation assessment, individual situation assessment, and task allocation calculation. The paper employs the Bayesian network (BN) to assess and rank enemy targets, and generates a Comprehensive Situation Value (CSV) as the priority of task allocations. Then, the paper combines the entropy weight method and the Analytic Hierarchy Process (AHP) to quantify the priority of individual UAV attacks. The method yields an Individual Situation Value (ISV) for individual situation assessment. These assessment results are integrated into the Nondominated Sorting Genetic Algorithm II (NSGA‐II), incorporating multiobjective weight factors to optimize task allocation dynamically. Simulation experiments demonstrate that the proposed method significantly enhances mission success rates and operational effectiveness while reducing UAV attrition and mission completion time by balancing total mission priorities, individual attack priority, and total firepower allocation. The method′s adaptability to dynamic battlefield conditions such as UAV losses further validates its practicality and efficiency for multi‐UAV missions. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Aerospace Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Dynamic Task Allocation Method for UAV Air‐to‐Ground Strike Based on Double‐Layer Situation Assessment.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Hu%22">Liu, Hu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Mukun%22">Liu, Mukun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Yongliang%22">Tian, Yongliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tianyongliang_buaa@163.com</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Minjie%22">Huang, Minjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Qiang%22">Guo, Qiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22ZHAO%2C+Changxiao%22">ZHAO, Changxiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cxzhao@cauc.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Aerospace+Engineering%22">International Journal of Aerospace Engineering</searchLink>. 5/16/2026, Vol. 2026, p1-20. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Bayesian+analysis%22">Bayesian analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Search+%26+rescue+operations%22">Search & rescue operations</searchLink><br /><searchLink fieldCode="DE" term="%22Aerial+bombing%22">Aerial bombing</searchLink><br /><searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy+%28Information+theory%29%22">Entropy (Information theory)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To address the challenges of battlefield search and rescue (SAR) scenarios, the paper proposes a task allocation method for unmanned aerial vehicle (UAV) air‐to‐ground strike. The method decomposes the key process of task allocation into three phases: comprehensive situation assessment, individual situation assessment, and task allocation calculation. The paper employs the Bayesian network (BN) to assess and rank enemy targets, and generates a Comprehensive Situation Value (CSV) as the priority of task allocations. Then, the paper combines the entropy weight method and the Analytic Hierarchy Process (AHP) to quantify the priority of individual UAV attacks. The method yields an Individual Situation Value (ISV) for individual situation assessment. These assessment results are integrated into the Nondominated Sorting Genetic Algorithm II (NSGA‐II), incorporating multiobjective weight factors to optimize task allocation dynamically. Simulation experiments demonstrate that the proposed method significantly enhances mission success rates and operational effectiveness while reducing UAV attrition and mission completion time by balancing total mission priorities, individual attack priority, and total firepower allocation. The method′s adaptability to dynamic battlefield conditions such as UAV losses further validates its practicality and efficiency for multi‐UAV missions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Aerospace Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1155/ijae/5530074
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        Text: English
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        PageCount: 20
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      – SubjectFull: Bayesian analysis
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Search & rescue operations
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      – SubjectFull: Aerial bombing
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      – SubjectFull: Analytic hierarchy process
        Type: general
      – SubjectFull: Entropy (Information theory)
        Type: general
    Titles:
      – TitleFull: Dynamic Task Allocation Method for UAV Air‐to‐Ground Strike Based on Double‐Layer Situation Assessment.
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            NameFull: Liu, Hu
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            NameFull: Tian, Yongliang
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            NameFull: Huang, Minjie
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              M: 05
              Text: 5/16/2026
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              Y: 2026
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