摘要
本文基于提高用户任务需求的处理能力,探索可共享卫星资源组网卫星协同的群规划方法.研究中不仅考虑了一些部门存在特有的任务规划需求,还考虑到一些重要部门有卫星资源或者经申请有允许规划的卫星资源.分析了群规划的模式需求及提出群规划框架;针对分层规划与可共享的资源服务,建立群规划多目标优化模型;针对任务规划这一高维离散组合优化问题,借鉴蚁群算法的快速收敛和遗传算法的强知识表示能力,阐述组合高低阶知识表示的改进遗传求解算法.仿真实验验证了本文规划模型与求解算法的有效性.
The collaborative work of the multi imaging satellites can deal with the complicated tasks of users. On the one hand, some departments have the special task execution characteristics and they want to make task scheduling alone. On the other hand, some important departments or have their own resources, or have their own planning resources after applying and approval. This paper discusses the group scheduling of the shared satellite resources： Firstly, analyses the requirement of group scheduling and exhibit the framework of group scheduling; Secondly, building the model of group scheduling to perform the task scheduling of shared satellite resources; Thirdly, inspiring by the good convergence of ant algorithm and the good description ability of gene algorithm, this paper presents the improved gene algorithm by combining high order knowledge and low order knowledge, to solve the model. Finally, simulation experiments validate the effectiveness of task scheduling model and algorithm.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2014年第8期2154-2162,共9页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71271066
71202168)
中央高校基本科研业务费专项资金(HIT.NSRIF.2010083)
中国博士后基金(20090450973)
博士后科研启动基金(LBH-Q11132)
关键词
卫星任务规划
群规划模型
求解算法
遗传算法
satellite task scheduling
group scheduling model
scheduling algorithm
gene algorithm
