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Optimal routing, aborting and hitting strategies of UAVs executing hitting the targets considering the defense range of targets

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  • Zhu, Xiaoning
  • Zhu, Xiaoping
  • Yan, Rui
  • Peng, Rui

Abstract

This paper is an attempt to investigate optimal routing, aborting and hitting strategies of Unmanned Aerial Vehicles (UAVs) executing hitting tasks. Several factors such as time window and a certain circular defense range of each target, the optimal bomb and fuel loads are considered in the UAVs routing plan in order to better assign targets to each UAV and determine the hitting order. It is assumed that UAVs may be attacked by random shocks when they are within the target's defense range, so each UAV can choose to abort its task according to the number of targets that the UAV has hit and the number of shocks that UAV has suffered in order to reduce the probability of UAVs being destroyed. In addition, we try to accomplish two objectives simultaneously with meeting the fuel requirements and increasing the probability of target being destroyed by optimizing the load of fuel and bomb. The tabu search algorithm is adopted in the optimization of UAV routing, aborting and hitting strategies, and numerical experiments are presented to illustrate the performance of the algorithm.

Suggested Citation

  • Zhu, Xiaoning & Zhu, Xiaoping & Yan, Rui & Peng, Rui, 2021. "Optimal routing, aborting and hitting strategies of UAVs executing hitting the targets considering the defense range of targets," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003343
    DOI: 10.1016/j.ress.2021.107811
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    References listed on IDEAS

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    Cited by:

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    4. Ke Chen & Xian Zhao & Qingan Qiu, 2022. "Optimal Task Abort and Maintenance Policies Considering Time Redundancy," Mathematics, MDPI, vol. 10(9), pages 1-16, April.
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    6. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2023. "Optimal task sequencing and aborting in multi-attempt multi-task missions with a limited number of attempts," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    7. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Shang, Lijun & Liu, Baoliang & Qiu, Qingan & Yang, Li & Du, Yongjun, 2023. "Designing warranty and maintenance policies for products subject to random working cycles," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    9. Cheng, Guoqing & Li, Ling & Shangguan, Chunxia & Yang, Nan & Jiang, Bo & Tao, Ningrong, 2023. "Optimal joint inspection and mission abort policy for a partially observable system," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    10. Yan, Rui & Zhu, Xiaoping & Zhu, Xiaoning & Peng, Rui, 2023. "Joint optimisation of task abortions and routes of truck-and-drone systems under random attacks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

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