采用威胁启发鸽群优化的武装直升机航路规划

摘要

In order to solve the problem of helicopter's route planning under the environment with complex terrain and threats,an improved pigeon-inspired optimization is proposed,in which the threat heuristic mechanism is integrated.The new algorithm makes full use of the known threat information in combat zone and takes it as the feedback information for guiding the flight,which can enhance the directivity of an individual during searching.The searching space constructed by allowed lists of way points can compress the searching space and ensure feasibility of the planned route.The simulation results show that the proposed method can effectively obtain the optimum route for the helicopter,which has the capability of terrain avoidance and threat avoidance.%针对复杂地形和威胁环境下武装直升机对地攻击航路规划问题,对鸽群优化进行了改进,提出了融入威胁启发机制的改进鸽群优化.充分利用作战区域中已知的威胁信息,将其作为启发信息反馈到鸽群中指导信鸽飞行,增强个体在搜索过程中的方向性.此外,采用航路点允许列表构成鸽群优化的寻优空间,缩小搜索空间,并保证了生成航路的可行性.仿真结果表明,所提出的方法能够有效地规划出直升机的最优航路,且规划航路具备避开地形障碍和敌方威胁的能力.