Optimising UAV Swarm Paths: A Genetic Algorithm Study

This research explores UAV swarm optimisation using genetic algorithms and multi-fidelity modelling. Beginning with an introduction to concepts such as swarm intelligence and optimised pathfinding, it addresses challenges like high-dimensional system complexity and adaptability. Key steps in genetic algorithms, including population diversity and candidate selection, are outlined. The study integrates low- and high-fidelity modelling to balance speed and accuracy for dynamic UAV path...