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| 自适应路由蚁群算法在导弹残骸搜索中的应用 | |
| 引用本文： | 王伟红,唐硕,朱向明,姬晓红.自适应路由蚁群算法在导弹残骸搜索中的应用[J].计算机仿真,2009,26(3). |
| 作者姓名： | 王伟红 唐硕 朱向明 姬晓红 |
| 作者单位： | 1. 西北工业大学航天学院,陕西,西安,710072;中国人民解放军95948部队,甘肃,兰州,732750 2. 西北工业大学航天学院,陕西,西安,710072 3. 中国人民解放军63636部队,甘肃,兰州,732750 |
| 摘 要： | 防空导弹飞行试验后弹目残骸有着重要价值.根据残骸搜索的实际需求,把残骸落点纳入到路网中,结合自适应路由算法,改进了基本蚁群算法,解决了靶场残骸搜索的最优路径问题.蚁群算法有收敛性较差、易于过早陷入局部最优等不足,通过构建蚁群、引入信息素约束条件、调整信息素初始值、自适应改变信息素增量等技术,增强了蚁群搜索能力,改善了算法收敛速度.仿真表明该算法易于编程实现,时延小,鲁棒性强,实用性好. |
| 关 键 词： | 蚁群算法 自适应动态路由算法 最优路径 信息素 |
Application of Ant Colony Algorithm in Missile Wreckage Searching Based on Adaptive Dynamic Routing |
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| WANG Wei-hong,TANG Shuo,ZHU Xiang-ming,JI Xiao-hong.Application of Ant Colony Algorithm in Missile Wreckage Searching Based on Adaptive Dynamic Routing[J].Computer Simulation,2009,26(3). | |
| Authors: | WANG Wei-hong TANG Shuo ZHU Xiang-ming JI Xiao-hong |
| Affiliation: | 1.The College of Astronautics;Northwestern Polytechnical University;Xi'an Shanxi 710072;China;2.95948 Unit of PLA;Lanzhou Gansu 732750;3.63636 Unit of PLA;China |
| Abstract: | Wreckage of antiaircraft missile and target after flying test has an important value.According to the requirement of wreckage searching,a new method is proposed and applied to find the optimal path joining falling point in path net in this paper.It can improve the classical ant colony optimization algorithm(ACO)by combining adaptive dynamic routing algorithm.ACO has worse performance in convergence and is easy to fall into the local maximum.The method enhances ACO convergence and searching ability by constr... |
| Keywords: | Ant colony algorithm Adaptive dynamic routing algorithm Optimal path Pheromone |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |