Combining Parallel Computing and Biased Randomization for Solving the Team Orienteering Problem in Real-Time
نویسندگان
چکیده
In smart cities, unmanned aerial vehicles and self-driving are gaining increased concern. These might utilize ultra-reliable telecommunication systems, Internet-based technologies, navigation satellite services to locate their customers other team plan routes. Furthermore, the of should serve by specified due date efficiently. Coordination between be needed accomplished in real-time exceptional cases, such as after a traffic accident or extreme weather conditions. This paper presents planning vehicle routes orienteering problem. addition, an ‘agile’ optimization algorithm is presented these for drones autonomous vehicles. combines extremely fast biased-randomized heuristic parallel computing approach.
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The Team Orienteering Problem (TOP) is an attractive variant of the Vehicle Routing Problem (VRP). The aim is to select customers and at the same time organize the visits for a vehicle fleet so as to maximize the collected profits and subject to a travel time restriction on each vehicle. In this paper, we investigate the effective use of a linear formulation with polynomial number of variables ...
متن کاملThe Team Orienteering Problem with Capacity Constraint and Time Window
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app112412092