| 注册
首页|期刊导航|计算机与现代化|一种基于自适应遗传算法的航迹重规划

一种基于自适应遗传算法的航迹重规划

王健 徐涵

计算机与现代化Issue(4):10-13,16,5.
计算机与现代化Issue(4):10-13,16,5.DOI:10.3969/j.issn.1006-2475.2011.04.004

一种基于自适应遗传算法的航迹重规划

A Route Re-planning Based on Adaptive Genetic Algorithm

王健 1徐涵1

作者信息

  • 1. 国防科学技术大学计算机学院,湖南,长沙,410073
  • 折叠

摘要

Abstract

Route re-planning is known as one of the key techniques to guarantee the safe navigation of UAV. For genetic algorithm track re-planning is easy to fall into local optimal solution, this paper takes the adaptive crossover and mutation probability of genetic algorithm to solve local route planning problem. This algorithm avoids the track re-planning to finish early, and prevents the track into a local optimal solution. Simulation results show that the adaptive genetic algorithm meets the constraints of planning an approximate optimal track in the simulated environment, and improves the performance of the genetic algorithm tracks re-planning.

关键词

无人飞行器/自适应遗传算法/航迹重规划

分类

信息技术与安全科学

引用本文复制引用

王健,徐涵..一种基于自适应遗传算法的航迹重规划[J].计算机与现代化,2011,(4):10-13,16,5.

计算机与现代化

OACSTPCD

1006-2475

访问量0
|
下载量0
段落导航相关论文