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采用遗传模拟退火算法研究导弹预警卫星传感器调度
引用本文:郭浩波,王颖龙,曾辉.采用遗传模拟退火算法研究导弹预警卫星传感器调度[J].电光与控制,2006,13(4):71-74.
作者姓名:郭浩波  王颖龙  曾辉
作者单位:空军工程大学导弹学院,陕西,三原,713800
基金项目:空军工程大学校科研和教改项目
摘    要:从导弹预警卫星的技术特点出发,通过对传感器调度分析,建立了相应的数学模型。结合遗传算法和模拟退火算法的特点,提出了一种新的解决导弹预警卫星传感器调度问题的遗传模拟退火算(GASA)。仿真结果表明该算法有效地解决了多目标情况下的传感器实时调度问题,并优于一般的智能算法。

关 键 词:导弹预警卫星  传感器调度  遗传算法  模拟退火算法
文章编号:1671-637X(2006)04-0071-04
收稿时间:2005-05-17
修稿时间:2005-05-172005-08-29

Sensor scheduling for missile early-warning satellite based on genetic and simulated annealing algorithm
GUO Hao-bo,WANG Ying-long,ZENG Hui.Sensor scheduling for missile early-warning satellite based on genetic and simulated annealing algorithm[J].Electronics Optics & Control,2006,13(4):71-74.
Authors:GUO Hao-bo  WANG Ying-long  ZENG Hui
Affiliation:Missile College, Air-Force Engineering University, Sanyuan 713800, China
Abstract:We established mathematic models of the sensor scheduling for missile early satellite based on the technical characteristics of missile early satellite and the analysis to sensor scheduling.According to the respective performance of genetic algorithm and simulated annealing algorithm,we proposed a new algorithm for sensor scheduling of early warning satellite,i.e.,Genetic and Simulated annealing Algorithm(GASA).Simulation result shows that the algorithm can effectively deal with real-time sensor scheduling under the circumstance of multiple objects,and it is better than other intelligent algorithms.
Keywords:missile early-warning satellite  sensor scheduling  genetic algorithm  simulated annealing algorithm
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