Vibrational Genetic Algorithm Based Path Planner for Autonomous UAV in Spatial Data Based Environments

Abstract

Within this study, it is aimed to provide an efficient algorithm for path planning in guidance of autonomous Unmanned Aerial Vehicle (UAV) in spatial data based environments. For this purpose, as a stochastic search method, current vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning. From the results obtained, it is concluded that VGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of vibrational genetic algorithm.