遗传算法在成像卫星计划编制中的应用  

Application of GA in Imaging Satellite Planning

作　　者：高朝晖[1] 岳群彬[1] 李伟[1] 

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《无线电工程》2013年第12期37-40,60,共5页Radio Engineering

摘　　要：采用遗传算法(Genetic Algorithms)实现成像卫星计划编制中的星地资源优化分配。成像卫星计划编制是与资源相关的规划调度问题,结合使用约束条件进行星上资源和地面站接收资源的分配与调度,制定合理可行的卫星摄影计划和地面站跟踪接收计划。在介绍遗传算法的基本原理和方法的基础上,详细阐述了遗传算法在成像卫星计划编制中的具体应用实践。基于设计实现的成像卫星计划编制原型系统,采用合适的适应度函数、交叉算子和变异算子,通过仿真实验获得了良好的优化效果。Genetic Algorithms can optimize resource allocation in imaging satellite planning. Imaging satellite planning can be explained as resources-related planning and scheduling. All usage constraints shall be considered in allocation and scheduling of satellite resource and ground receiving resource. And reasonable and feasible imaging plan of satellite and receiving plan of ground station shall be developed. Based on the principle and methods of Genetic Algorithms,the application of Genetic Algorithms in imaging satellite planning is detailed. Prototype system is implemented according to the design using right function,cross operator and variation operator.,simulation experiments show good effect.

关 键 词：成像卫星 规划调度 遗传算法 智能搜索 遗传变异 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]