基于改进蚁群算法的飞机低空突防航路规划  

Low Altitude Penetration Route Planning of the Plane Based on Improved Ant Colony Algorithm

作　　者：叶文[1] 范洪达[1] 

机构地区：[1]海军航空工程学院军械工程系,山东烟台264001

出　　处：《飞行力学》2004年第3期35-38,共4页Flight Dynamics

摘　　要：采用蚁群算法实现了飞机低空突防的航路规划,为航路规划问题提供了新的解决思路。并对原始蚁群算法进行了改进,提出了保留最优解、自适应选择策略和自适应信息素调整准则,有效地提高了算法的收敛速度和解的性能。最后用计算机进行了仿真,取得了较好的结果。The ant colony algorithm is a new class of popular basic algorithm. The route planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the route planning. In the paper, the original ant colony algorithm is improved, and measures of keeping optimization, adaptively selecting and adaptively adjusting are applied, which can find better path at higher convergence speed. Finally the algorithm is implemented with computer simulation and preferable results are obtained.

关 键 词：蚁群算法 航路规划 保留最优解 自适应搜索 

分 类 号：V249[航空宇航科学与技术—飞行器设计]