多UCAV协同航路规划算法

Multi-UCAV Cooperation Path Planning Algorithm

摘要:

针对多UCAV协同航路规划问题,将协同进化理论与扩展Voronoi图模型相结合,提出了一种基于扩展Voronoi图模型与协同进化算法的多UCAV协同航路规划方法。该方法通过协同进化理论的合作机制实现了规划航路的空域协同,通过采用层次分解策略实现了规划航路的时域协同,并且对染色体设计、个体适应度以及进化操作等关键问题进行了研究。

Abstract:

A method combining co-evolution theory with expanded Voronoi model for multi-UCAV cooperation path planning problem was put forward. The method realized airspace cooperation by the cooperative performance of co-evolution theory and time cooperation by the decomposition strategy for multi-UCAV paths. Key problems for multi-UCAV cooperation path planning such as chromosome design, individual fitness and evolution operation were researched.