计算机工程与科学2012，Vol.34Issue(6)：131-135,5.DOI:10.3969/j.issn.1007-130X.2012.06.026
基于改进遗传算法的多巡飞器空投任务介入点优化方法
An Aerial Delivery Areas-Choosing Method for Multi-LAVs Based on Improved GA
李大林 1王军波 1沈晓军 1李杰2
作者信息
- 1. 中国人民解放军63961部队,北京100012
- 2. 北京理工大学机电学院,北京100081
- 折叠
摘要
Abstract
In this paper, a multi-LAVs' aerial delivery areas-choosing method is put forward. This method takes the performance of LAV, especially minimum turning radius, into consideration, using AHP to determine the wight of targets, using Dubins' path as the method of single LAV's path planning. The simulation results show that LAVs can reach the target located at the longest distance within the minimum time, the rapidity of convergence and convergence rate of solving aerial delivery problem is increased.关键词
改进遗传算法/层次分析法/多巡飞器/Dubins飞行路径Key words
IGA/Multi-LAV/AHP/Dubins' flying path分类
军事科技引用本文复制引用
李大林,王军波,沈晓军,李杰..基于改进遗传算法的多巡飞器空投任务介入点优化方法[J].计算机工程与科学,2012,34(6):131-135,5.
