UAV Path Planning Using a State Transition Simulated Annealing Algorithm Based on Integrated Destruction Operators and Backward Learning Strategies

UAV Path Planning Using a State Transition Simulated Annealing Algorithm Based on Integrated Destruction Operators and Backward Learning Strategies

This study introduces a state transition simulated annealing algorithm that incorporates integrated destruction operators and backward learning strategies (DRSTASA) to address complex challenges in UAV path planning within multidimensional environments. UAV path planning is a critical optimization p...

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Bibliographic Details
Main Authors: Jianping Liu, Xiaoxia Han, Fengyi Liu, Jinde Wu, Wenjie Zhang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
STASA
destruction operators
backward learning strategies
UAV path planning
Online Access:https://www.mdpi.com/2076-3417/15/11/6064
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