Improved Snake Optimization-Driven 3D Path Planning for UAVs
In order to solve the path planning of unmanned aerial vehicles(UAVs)in three-dimensional space under threats,an improved snake optimization(ISO)algorithm is proposed for the challenging optimization of UAVs path planning in three-dimensional complex environments.Firstly,the total cost function including range,threat,altitude and smoothing costs is established,and the path planning of UAVs is transformed into an optimi-zation issue that takes into account the safe operation requirements of UAV In the framework of snake optimiza-tion(SO),Tent chaotic map is used to initialize the population,and the temperature threshold is dynamically adjusted to improve the local optimization ability of the algorithm,and Lévy flight strategy is introduced in the exploitation phase to improve the global optimization ability of the algorithm.The simulation results show that the ISO algorithm is superior to the SO algorithm by solving the path planning of UAVs.
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