Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach-Reference-Cited by-同舟云学术

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Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach

Published:2024-06-04 Issue: Volume: Page:458-463
ISSN:
Container-title:2024 International Conference on Unmanned Aircraft Systems (ICUAS)
language:
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Author:

Kladis Georgios P.¹,Doitsidis Lefteris²,Tsourveloudis Nikos C.²

Affiliation:

1. Automatic Control, Aerospace Technology, Defence Systems and Operations Academic Section, Hellenic Air Force Academy,Department of Aeronautical Science,Dekeleia,Greece,TGA-1010

2. School of Production Engineering and Management, Technical University of Crete,Chania,Crete,Greece,73100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10556795/10556824/10557022.pdf?arnumber=10557022

Reference17 articles.

1. Path planning in unmanned aerial vehicles: An optimistic overview

2. Autonomous multi-agent aerial vehicle systems utilising energy requirements;Kladis,2010

3. Energy-Efficient Drone Coverage Path Planning using Genetic Algorithm

4. Energy efficient path planning for Unmanned Surface Vehicle in spatially-temporally variant environment

5. A Genetic Algorithm enhanced with Fuzzy-Logic for multi-objective Unmanned Aircraft Vehicle path planning missions

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