Multi-Objective UAV Trajectory Planning in Uncertain Environment

UAV trajectory planning is one of the research focuses in artificial intelligence and technology. The asymmetric information, however, will lead to uncertainty planning; probability theory as most commonly used method solve problem uncertain environment unrealistic conclusions under condition lacking samples, while based on measures an efficient such problems. Firstly, uncertainties are sufficiently considered this paper; fuel consumption, concealment threat degree with variables taken objective functions; constraints analyzed according maneuverability; multi-objective (UMOTP) model established. After that, paper takes both long-term benefits its stability into account, then, expected-value standard-deviation What more, solves Pareto front planning, satisfying various preferences, which avoids defects obtained by traditional only applicable a certain specific situation. In order obtain better solution set, proposes improved backbones particle swarm optimization algorithm PSO NSGA-II, overcomes shortcomings premature convergence poor robustness, efficiency tested. Finally, applied UMOTP problem; optimal set obtained, effectiveness reliability verified.