Research on payload distribution of UAV formation with constraints
Jin Xiao, Zhiwei Zhu, Xiaoguang Hu, Guofeng Zhang, Lei Liu · 2020
In order to solve the problem of the distribution of limited combat power and payload in the multi-tasking cooperative scenario of the UAV formation, this paper proposes a decision method based on the NSGA-III algorithm. First, the NSGA-III algorithm is combined with the penalty function to solve the multi-objective optimization problem with constraints. Then, build a capability evaluation system for mission formations, and build a multi-objective optimization model with constraints for multi-tasking collaborative scenarios. Finally, the improved NSGA-III algorithm with the penalty function is utilized to solve the constrained multi-objective optimization problem. This method can propose a variety of non-inferior deployment schemes for multi-task collaborative scenarios with limited payload resources in a short time, effectively reduce the formulation time of schemes and improve the performance of tasks.