Combining Parallel Computing and Biased Randomization for Solving the Team Orienteering Problem in Real-Time

In smart cities, unmanned aerial vehicles and self-driving vehicles are gaining increased concern. These vehicles might utilize ultra-reliable telecommunication systems, Internet-based technologies, and navigation satellite services to locate their customers and other team vehicles to plan their rou...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 24; S. 12092
Hauptverfasser:	Panadero, Javier, Ammouriova, Majsa, Juan, Angel A., Agustin, Alba, Nogal, Maria, Serrat, Carles
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2021
Schlagworte:	biased randomization Decision making Drones Genetic algorithms Heuristic Internet of Things Monte Carlo simulation Optimization algorithms Orienteering parallel computing real-life optimization Sensors Smart cities Surveillance team orienteering problem Traveling salesman problem Unmanned aerial vehicles Vehicles
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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