无线电工程Issue(1)：1-4,47,5.DOI:10.3969/j.issn.1003-3106.2015.01.01
一种基于离散粒子群的多星任务规划算法
A Multisatellite Task Planning Algorithm Based on Discrete Particle Swarm
摘要
Abstract
The task planning of earth observation satellite is a key part of satellite management control,and it is a optimization decision⁃making process. A mathematical model is established and a discrete particle swarm optimization ( DPSO) algorithm is put forward to solve the multiple satellites task planning problem. According to the discrete characteristic of task planning, a new update strategy for particle position is designed.The simulation results show that the DPSO algorithm has such advantages as high optimization capability,fast convergence,etc.,and can solve the multisatellite task scheduling problem effectively.关键词
任务规划/多星/离散粒子群Key words
task planning/multisatellite/discrete particle swarm分类
信息技术与安全科学引用本文复制引用
韩伟,张学庆..一种基于离散粒子群的多星任务规划算法[J].无线电工程,2015,(1):1-4,47,5.基金项目
河北省择优资助博士后科研基金资助项目（ B2013003019）。 （）
