A Genetic Algorithm enhanced with Fuzzy-Logic for multi-objective Unmanned Aircraft Vehicle path planning missions-Reference-Cited by-同舟云学术

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

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Unmanned Aircraft Systems (ICUAS)
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Author:

Ntakolia Charis¹,Platanitis Konstantinos S.²,Kladis Georgios P.³,Skliros Christos⁴,Zagorianos Anastasios D.³

Affiliation:

1. Hellenic Air Force Academy,Sector of Materials Engineering, Machining Technology and Production Management,Department of Aeronautical Studies,Dekeleia, Attica,Greece,TGA-1010

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

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

4. Robosurvey Ltd,Athens,Greece

Funder

University of Crete

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836022/9835714/09836068.pdf?arnumber=9836068

Reference50 articles.

1. Survey on computational-intelligence-based UAV path planning

2. Two algorithms for constructing a Delaunay triangulation

3. Rotary unmanned aerial vehicles path planning in rough terrain based on multi-objective particle swarm optimization

4. Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem

5. Constrained multi-objective optimization for multi-UAV planning

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