Drone station6/2/2023 ![]() Aerial vehicles can cover vastly more terrain than slower, clumsier ground-based surveillance systems - which is why they've been a key component of military and law enforcement applications for decades. This lineup of aerial hardware fits a variety of enterprise photography and video use cases. If you see inaccuracies in our content, please report the mistake via this form. If we have made an error or published misleading information, we will correct or clarify the article. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. ZDNET's editorial team writes on behalf of you, our reader. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers. Neither ZDNET nor the author are compensated for these independent reviews. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. Lett.ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. Wang, X., Poikonen, S., Golden, B.: The vehicle routing problem with drones: several worst-case results. Schermer, D., Moeini, M., Wendt, O.: Instances for the traveling salesman drone station location problem (TSDSLP) (2019). BISOR, Technische Universität Kaiserslautern (2019) Schermer, D., Moeini, M., Wendt, O.: A matheuristic for the vehicle routing problem with drones and its variants (Technical report), pp. Schermer, D., Moeini, M., Wendt, O.: A hybrid VNS/Tabu search algorithm for solving the vehicle routing problem with drones and en route operations. BISOR, Technische Universität Kaiserslautern (2018) Schermer, D., Moeini, M., Wendt, O.: A variable neighborhood search algorithm for solving the vehicle routing problem with drones (Technical report), pp. Schermer, D., Moeini, M., Wendt, O.: Algorithms for solving the vehicle routing problem with drones. Otto, A., Agatz, N., Campbell, J., Golden, B., Pesch, E.: Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: a survey. Nagy, G., Salhi, S.: Location-routing: issues, models and methods. Murray, C.C., Chu, A.G.: The flying sidekick traveling salesman problem: optimization of drone-assisted parcel delivery. Min, H., Jayaraman, V., Srivastava, R.: Combined location-routing problems: a synthesis and future research directions. Miller, C.E., Tucker, A.W., Zemlin, R.A.: Integer programming formulation of traveling salesman problems. Kim, S., Moon, I.: Traveling salesman problem with a drone station. 1–18 (2019)ĭorling, K., Heinrichs, J., Messier, G.G., Magierowski, S.: Vehicle routing problems for drone delivery. 52(4), 965–981 (2018)Ĭhauhan, D., Unnikrishnan, A., Figliozzi, M.: Maximum coverage capacitated facility location problem with range constrained drones. Agatz, N., Bouman, P., Schmidt, M.: Optimization approaches for the traveling salesman problem with drone.
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