ACS Applied Computer Science

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UAVS FLIGHT ROUTES OPTIMIZATION IN CHANGING WEATHER CONDITIONS – CONSTRAINT PROGRAMMING APPROACH

The problem of delivering goods in a distribution network is considered in which a fleet of Unmanned Aerial Vehicles (UAV) carries out transport operations. The changing weather conditions in which the transport operations take place and the UAVs energy capacity levels influenced by the weather conditions are taken into account as factors that affect the determination of a collision-free route. The goods must be delivered to the customers in a given time window. Establishing the routes are the focus of this study. Solutions maximizing the level of customer satisfaction are focused and the computational experiments presented in the study show the impact of weather conditions on route determination.
  • APA 6th style
Radzki, G., Thibbotuwawa, A., & Bocewicz, G. (2019). UAVs flight routes optimization in changing weather conditions – constraint programming approach. Applied Computer Science, 15(3), 5-20. doi:10.23743/acs-2019-17
  • Chicago style
Radzki, Grzegorz, Amila Thibbotuwawa, and Grzegorz Bocewicz. "Uavs Flight Routes Optimization in Changing Weather Conditions – Constraint Programming Approach," Applied Computer Science 15, no. 3 (2019): 5-20.
  • IEEE style
G. Radzki, A. Thibbotuwawa, and G. Bocewicz, "UAVs flight routes optimization in changing weather conditions – constraint programming approach. Applied Computer Science vol 15, no. 3, pp. 5-20, 2019, doi:10.23743/acs-2019-17
  • Vancouver style
Radzki G, Thibbotuwawa A, Bocewicz G. UAVs flight routes optimization in changing weather conditions – constraint programming approach. Applied Computer Science. 2019;15(3):5-20.