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...

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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
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