2021
DOI: 10.1007/978-3-030-86433-0_9
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A Feature Based Solution Approach for the Flying Sidekick Traveling Salesman Problem

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Cited by 6 publications
(5 citation statements)
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“…They are able to solve all the M10‐instances , and 80 and 5 M20‐instances of the considering a drone endurance equal to 20 and 40 min, respectively. The same authors then extend their method in [5] and [3], including cyclic sortie and trying to use the proposed method in combination with data science techniques, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…They are able to solve all the M10‐instances , and 80 and 5 M20‐instances of the considering a drone endurance equal to 20 and 40 min, respectively. The same authors then extend their method in [5] and [3], including cyclic sortie and trying to use the proposed method in combination with data science techniques, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Thus, it is a NP-hard problem as well, and it is extremely difficult to optimally and/or effectively solve even on instances with few customers. As a result of this complexity, most contributions in literature tackle the FS-TSP by heuristic approaches [3,9,12], while just a few mathematical programming exact methods have been developed. Moreover, as will be highlighted in the next section, available exact methods either suffer of dimensionality drawbacks due to the usage of an exponential number of variables, or suffer of tightness deficiency due to the weakness of formulation constraints.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the drone is allowed to fly between customers, while the truck should travel along with the road network. The problem is also addressed by [54][55][56][57][58][59][60][61], which employed different solution methods. The FSTSP has been extended in different ways.…”
Section: ) Collaborative Htdds Operations With Truck and Drone Deliverymentioning
confidence: 99%
“…Thus, for the two vehicles, it is feasible to consider a separate road network, where the truck has its own road network, representing the potential locations for launching and collecting the drone. • Truck and drone distances are calculated using the Euclidean metric [60,61,67,69,76,84,85,87,90,92,99,103,115,117,118,131,137]. In this case, both vehicles are assumed to travel in a straight line, without following any road network.…”
Section: ) Model Assumptions and Parametersmentioning
confidence: 99%
“…In particular, smart contracts are rarely used as a standalone technology. In logistics, for example, drones automate on-field operations [16], [17], and IoT devices collect onfield data to be elaborated through artificial intelligence, stochastic programming, and granular computing approaches [4], [18]- [20]. Thus, to guarantee smart contracts use sufficiently decentralized data feeds, a single product should be tracked by multiple IoT devices.…”
mentioning
confidence: 99%