| 注册
首页|期刊导航|指挥控制与仿真|基于蚁群算法的直升机应召式搜潜航路规划

基于蚁群算法的直升机应召式搜潜航路规划

李林 吴卫玲 苏通献

指挥控制与仿真2017,Vol.39Issue(1):10-15,6.
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.

指挥控制与仿真

OACSTPCD

1673-3819

访问量0
|
下载量0
段落导航相关论文