指挥控制与仿真2017,Vol.39Issue(1):10-15,6.DOI:10.3969/j.issn.1673-3819.2017.01.003
基于蚁群算法的直升机应召式搜潜航路规划
Responding-antisubmarine Air Route Planning of ASW Helicopter Based on Ant Colony Algorithm
李林 1吴卫玲 1苏通献1
作者信息
- 1. 海军航空工程学院青岛校区,山东 青岛 266041
- 折叠
摘要
Abstract
Air route planning system is the core of responding-antisubmarine mission which is carried out by an ASW helicopter, and the efficiency of mission completion is decided by the adopted algorithm.Considering actual army training and combat, this paper analyses the basic elements of responding-antisubmarine air route planning system systematically, constitutes assessment index of air route planning system, presents the constraint conditions which should be considered by the system and carries out simulation calculation by ant colony algorithm.Finally this paper summarizes the applicable circumstances of responding-antisubmarine air route planning methods based on ant colony algorithm, which will be of great value to improve army combat and training efficiency.关键词
蚁群算法/应召式搜潜/航路规划Key words
ant colony algorithm/responding-antisubmarine/air route planning分类
军事科技引用本文复制引用
李林,吴卫玲,苏通献..基于蚁群算法的直升机应召式搜潜航路规划[J].指挥控制与仿真,2017,39(1):10-15,6.