Study of Optimization Problems Associated With Technical Implementation of Drones in the Post-Pandemic Society.

As the world faces the pandemic of COVID-19, how to minimize human contact becomes an imperative issue for governments short of shutting down their entire economies or closing borders with their neighboring countries. Several new technologies have emerged in this time of need, particularly the drone technology, which has been used extensively in disaster reliefs, warehouse operations and security monitoring. In this research, several optimization problems related to drone technology were surveyed, especially the facility location problem. Moreover, the optimization modelers--LINGO and PuLP--were used to solve the optimization problem and compared in terms of their performance. Even though both performed the same in terms of solution quality, PuLP performed better with respect to the execution time. Overall, this paper offers a complete view of drone applications in this world facing the pandemic, drone optimization issues and implementation for solving an optimization problem. [ABSTRACT FROM AUTHOR]