Volume 56, Number 2, March-April 2022
|Page(s)||853 - 869|
|Published online||14 April 2022|
UAVs routes optimization on smart cities and regions
Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, São Domingos, Niterói, RJ 24210-310, Brazil
2 OptBlocks Consultoria Ltda., Avenida João Pinheiro, 274 Sala 201 Lourdes, Belo Horizonte, MG 30130-186, Brazil
3 Adjunct Faculty, Computer Science Department of George Washington University, Washington, DC 20052, USA
4 Department of Control and Automation Engineering, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Ouro Preto, MG 35400-000, Brazil
* Corresponding author: firstname.lastname@example.org
Accepted: 28 February 2022
Unmanned Aerial Vehicles are becoming a common technology used on smart cities and smart regions, thus requiring optimization of its routes with crucial importance. In this innovative work, six objective functions are optimized in order to provide sets of non-dominated solutions, composed of routes with different characteristics. Realistic constraints are considered such as obstacles and areas in which drones could not pass through. A didactic case of study considering points of a graph is used in order to illustrate a smart city composed of different regions. Obtained solutions are analyzed using a state-of-the-art visualization tool, which guides the comprehension of harmony and conflicts between objectives.
Mathematics Subject Classification: 90C29 / 05C85
Key words: Smart City / UAVs / routing problem / MILP / many-objective optimization problem
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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