指挥控制与仿真2016，Vol.38Issue(6)：42-45,4.DOI:10.3969/j.issn.1673-3819.2016.06.009
基于势场启发蚁群算法的远程水中兵器航路规划
Remote Underwater Weapon P ath P lanning Based on Ant Colony Optimization Inspired by Field Heuristic
刘海光 1孙明太 2王桂芹1
作者信息
- 1. 海军航空工程学院青岛分院，山东 青岛 266045
- 2. 海军潜艇学院，山东 青岛 266199
- 折叠
摘要
Abstract
Aimming at the problems of path planning for the remote underwater weapon with large navigation error, a grid method is used to establish the model of marine environment, in order to enable the weapon to be able to move effectively a⁃way from the barrier in the navigation, an improved ant colony optimization algorithm is proposed, and the artificial potential field is a heuristic factor of it. This algorithm is used to search for the best path of the remote underwater weapon from the starting point to the target point, and solves the problems that the standard ant colony algorithm is easy to fall into local opti⁃mum and has slow convergence speed. Simulation results show that the path planning algorithm brings a small amount of path loss, but it can avoid the problem of navigation safety due to the error. This algorithm is an effective path planning method for the remote underwater weapon.关键词
蚁群算法/远程水中兵器/航路规划/人工势场/栅格法Key words
ant colony algorithm/remote underwater weapon/path planning/artificial potential field/grid method分类
军事科技引用本文复制引用
刘海光,孙明太,王桂芹..基于势场启发蚁群算法的远程水中兵器航路规划[J].指挥控制与仿真,2016,38(6):42-45,4.
