指挥控制与仿真2018，Vol.40Issue(2)：61-64,4.DOI:10.3969/j.issn.1673-3819.2018.02.011
一种可用于AUV航路规划的改进粒子群优化算法
Particle Swarm Optimization Algorithm Used on Route Planning for AUV
刘鲲1
作者信息
- 1. 北京长城电子装备有限责任公司,北京 100082
- 折叠
摘要
Abstract
Based on the differential evolution algorithm(DE)and quantum particle swarm optimization algorithm(QPSO), this paper proposes an improved quantum particle swarm optimization algorithm,which is successfully applied to AUV route planning in the marine environment.Simulation results show that in different battlefield environment(different launch points, different target points,different detection threats),the improved quantum particle swarm optimization algorithm has the ad-vantages of strong searching efficiency, fast convergence speed and good algorithm stability, which can be well adapted to AUV route planning.关键词
AUV/航路规划/粒子群优化算法/差分进化算法Key words
AUV/route planning/particle swarm optimization/differential evolution分类
军事科技引用本文复制引用
刘鲲..一种可用于AUV航路规划的改进粒子群优化算法[J].指挥控制与仿真,2018,40(2):61-64,4.
