| Title |
UAVs routes optimization on smart cities and regions |
| ID_Doc |
40695 |
| Authors |
Marques, EL; Coelho, VN; Coelho, IM; Frota, YAD; Koochaksaraei, RH; Ochi, LS; Coelho, BN |
| Title |
UAVs routes optimization on smart cities and regions |
| Year |
2022 |
| Published |
Rairo-Operations Research, 56, 2 |
| DOI |
10.1051/ro/2022036 |
| Abstract |
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. |
| Author Keywords |
Smart City; UAVs; routing problem; MILP; many-objective optimization problem |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000788024700013 |
| WoS Category |
Operations Research & Management Science |
| Research Area |
Operations Research & Management Science |
| PDF |
https://www.rairo-ro.org/articles/ro/pdf/2022/02/ro210542.pdf
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