Path planning for autonomous UAV via vibrational genetic algorithm

Abstract

Purpose It is aimed to provide an efficient algorithm for path planning in guidance of autonomous unmanned aerial vehicle (UAV) through 3D terrain environments. Design/methodology/approach As a stochastic search method, vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning. Findings Using VGA, an efficient path planning algorithm for autonomous UAV was obtained under low population rate and short generation cycle conditions. Originality/value VGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of VGA.