Trajectory optimization in stochastic environment based on original natural computation
Yi Yang, Ying Nan, Haoxiang Chen · 2018
This paper proposed a global optimization algorithm to solve the trajectory optimization problem of flight vehicles in stochastic environments. Flight vehicles must complete various missions in a stochastic environment, such as flying across flight points, cooperation antagonism with other vehicles. The stochastic environment includes threat areas with random size and position, and wind field with random intensity and direction. This algorithm is capable of optimizing multi system control problem with multiple performance indexes globally, satisfying all static and dynamic, visible and invisible constraints. Through numerical simulations, it is found that this algorithm can solve multi-vehicles multi-objective flight trajectory optimization problem in stochastic environment perfectly.