As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In disaster situation a quickly obtained and regularly updated overview image of an area provides essential information for the rescue mission planning. Such an overview image can be composed from the individual pictures taken by a fleet of Unmanned Aerial Vehicles (UAVs). However, currently drones are remotely controlled by humans during such missions. To the best of our knowledge, no research has been conducted on the problem of UAV routing for such task. Therefore, we propose a method based on the wellknown metaheuristic Variable Neighborhood Search. In particular, we developed two new heuristics to construct the initial solution and an additional neighborhood operator. Computational experiments indicate that solutions obtained by our metaheuristic do not exceed the optimum by more than 26.9% on small scenarios. For the large instances with hundreds of points (where no optimal solution is known) the proposed method constructs feasible solutions in less than one second.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.