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Knowledge and Experience Guided Heterogeneous Multi-UAV Mission Planning Method

  • Weijiang Zhou
  • , Hongxing Zheng*
  • , Xudong Xie
  • *Corresponding author for this work
  • Space Engineering University
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Heterogeneous multi-UAV mission planning, as the action guidelines of the team, can effectively improve the operational efficiency and mission revenue of the UAV team. Aiming at the mission planning problem of heterogeneous multi-UAV systems, a heuristic planning algorithm based on knowledge and experience guidance is proposed. Guiding the search direction of the algorithm through prior knowledge and optimizing experience, the optimization effect of the algorithm in complex decision space and large-scale mission planning problems can be improved. Finally, detailed simulation experiments are carried out to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings - 2022 4th International Conference on Intelligent Information Processing, IIP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-403
Number of pages8
ISBN (Electronic)9781665492225
DOIs
StatePublished - 2022
Event4th International Conference on Intelligent Information Processing, IIP 2022 - Guangzhou, China
Duration: 14 Oct 202216 Oct 2022

Publication series

NameProceedings - 2022 4th International Conference on Intelligent Information Processing, IIP 2022

Conference

Conference4th International Conference on Intelligent Information Processing, IIP 2022
Country/TerritoryChina
CityGuangzhou
Period14/10/2216/10/22

Keywords

  • Heterogeneous UAV
  • heuristic method
  • mission planning
  • optimization experience
  • prior knowledge

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