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Unmanned aerial vehicle path planning by evolutionary algorithms
 Miloševič, Filip ; Šoustek, Petr (referee) ; Kůdela, Jakub (advisor)
This bachelor thesis deals with the problem of optimizing UAV routes in 3D space. It consists of a review of the current knowledge regarding the issue and the implementation of a program with a graphical interface that can create an optimized route using the Artificial Bee Colony, Particle Swarm Optimization and Whale Optimization Algorithms. Subsequently, a series of simulations were performed using the program, in which the Artificial Bee Colony algorithm proved to be the most effective algorithm in solving this issue.
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