Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms

Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms

Efficient path planning is vital for multi-UAV inspection missions, yet the comparative effectiveness of different optimization strategies has not received much attention. This paper introduces the first application of the Genetic Algorithm (GA) and Hill Climbing (HC) to multi-UAV inspection of indo...

Full description

Saved in:
Bibliographic Details
Main Authors: Faten Aljalaud, Yousef Alohali
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
autonomous
multi-UAV
path planning
inspection
genetic algorithm
Online Access:https://www.mdpi.com/1996-1073/18/1/50
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items