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The increasing use of drones to perform various tasks has motivated anexponential growth of research aimed at optimizing the use of these means,benefiting both military and civilian applications, including logisticsdelivery. In this sense, the combined use of trucks and drones has beenexplored with great interest by Operations Research. This work presentsmathematical formulations in Mixed Integer Linear Programming and proposes ahybrid Genetic Algorithm (HGenFS) for optimizing a variation of the TravelingSalesman Problem (TSP) called Flying Sidekick TSP (FSTSP), in which truck anddrone cooperate. The results obtained confirmed that the adopted formulationfor the exact solution is suitable for solving problems up to ten customers,and the HGenFS proved to be capable of finding optimal solutions for the FSTSPin a few seconds by incorporating specific heuristics and a local search phase.

Hybrid Genetic Algorithm and Mixed Integer Linear Programming for Flying Sidekick TSP