摘要
潜艇三维空间导航规划是指在已知或未知的条件下,利用环境建模与路径搜索方法,为潜艇规划出安全、快速、隐蔽的航行路径。为提高导航规划算法的稳定性与效率,本文对蚁群算法进行改进,给出一种基于多蚁群协同的并行优化的潜艇导航规划算法,并使用Matlab与VC++对该算法进行仿真实验。实验结果表明,本文算法能够得到较为可行的路径规划。
Submarine 3D space navigation planning was planned a safe, fast and covert navigation path, which is based on environmental modeling and path searching method under known or unknown conditions. In this paper, in order to improve the stability and efficiency of the navigation planning algorithm, the ant colony algorithm was improved, and a new submarine navigation planning algorithm based on multi ant colony optimization was presentedand using Matlab and VC++to simulate the algorithm, the experimental results shown that the algorithm can got a more feasible path planning.
出处
《舰船科学技术》
北大核心
2017年第2X期43-45,共3页
Ship Science and Technology
关键词
蚁群算法
三维空间
导航规划
ant colony algorithm
3D space
navigation planning
