MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats

MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats

To improve the global search efficiency and dynamic adaptability of the Sand Cat Swarm Optimization (SCSO) algorithm for UAV path planning in complex 3D environments, this study proposes a Modified Sand Cat Swarm Optimization (MSCSO) algorithm by integrating chaotic mapping initialization, Lévy flig...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhengsheng Zhan, Dangyue Lai, Canjian Huang, Zhixiang Zhang, Yongle Deng, Jian Yang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
UAV path planning
sand cat swarm optimization
chaotic mapping
Lévy flight long-step perturbation
nonlinear particle swarm optimization weight
elite mutation mechanism
Online Access:https://www.mdpi.com/1424-8220/25/9/2730
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1424-8220/25/9/2730

Similar Items