多无人机协同任务规划方法

摘要

针对多UCAV协同作战的复杂问题,建立了多无人机任务分配模型,模型在任务规划前进行路径预规划,增强规划过程的准确性,提出一种基于整数编码的多种群混合遗传算法对问题求解并进行仿真实验.实验结果表明,该算法增强了搜索的有效性,极大地避免了遗传算法容易陷入未成熟收敛的缺陷,保证了寻优过程的收敛性和任务规划效果的最优化.%To solve the complicated problem of multiple UCAVs cooperative combat,multiple Unmanned Aerial Vehicles task allocation model is established,route planning should be done before mission planning in order to enhance the accuracy of the planning process.A method based on multi-population hybrid genetic algorithm with integer coding for multiple UCAVs' cooperation task allocation is designed and the simulation experiment is carried out.The results show that this algorithm has strong effectiveness to solve the problem,greatly avoids the defect that the genetic algorithm is easy to fall into premature convergence,which ensures the convergence of the optimization process and the optimization of the task planning effect.