UAV Elevation Models Path Planning Based on Improved Salp Swarm Algorithm

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UAV Elevation Models Path Planning Based on Improved Salp Swarm Algorithm

Computer Software and Theory | 更新时间：2026-01-27

- UAV Elevation Models Path Planning Based on Improved Salp Swarm Algorithm
- “In the field of three-dimensional trajectory planning for unmanned aerial vehicles, experts have proposed convex hull strategies combined with elevation data and improved tunica albuginea group algorithms, effectively enhancing path planning capabilities and optimization performance, providing solutions for solving complex environmental flight problems for unmanned aerial vehicles.”
- Software Guide Vol. 25, Issue 1, Pages: 63-74(2026)
- 作者机构：
  
  西安建筑科技大学机电工程学院，陕西西安 710055
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241888
  CLC： TP273
- Received：26 November 2024，
  
  Published：15 January 2026
- 稿件说明：
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赵南南,吕尚扬,吴广政等.基于改进樽海鞘群算法的无人机高程模型航迹规划[J].软件导刊,2026,25(01):63-74.

ZHAO Nannan,LYU Shangyang,WU Guangzheng,et al.UAV Elevation Models Path Planning Based on Improved Salp Swarm Algorithm[J].Software Guide,2026,25(01):63-74.
赵南南,吕尚扬,吴广政等.基于改进樽海鞘群算法的无人机高程模型航迹规划[J].软件导刊,2026,25(01):63-74. DOI： 10.11907/rjdk.241888.

ZHAO Nannan,LYU Shangyang,WU Guangzheng,et al.UAV Elevation Models Path Planning Based on Improved Salp Swarm Algorithm[J].Software Guide,2026,25(01):63-74. DOI： 10.11907/rjdk.241888.

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