关键词: 无人机, 任务分配, 多目标优化, NSGA-II算法

Abstract:

Task allocation model based on single objective function can not provide more useful information for the fire control decision makers. In order to make up the deficiency, the wastage cost of UCAV (Unmanned Combat Aerial Vehicle) and damage value of target are treated as two optimization objective functions of the task allocation for MultiUCAV cooperatively attacking multiple targets, and a new task allocation model is established. Based on the optimization model, an improved NSGA-II(Nondominated Sorting Genetic Algorithm II) with elitist strategy is adopted for searching the Pareto optimal solutions of the task allocation of cooperative attacking multiple targets for MultiUCAV. The decision makers select the best task allocation scheme according to their preferences. Simulation results demonstrate that the algorithm of task allocation is convergent and effective.

Key words: unmanned combat aerial vehicle(UCAV), task allocation, multi-objective optimization, nondominated sorting genetic algorithm II(NSGA-II)