基于模糊偏好的多目标成像卫星调度方法研究  

Research on multi-objective imaging satellites scheduling techniques based on fuzzy preferences

作　　者：王军民[1] 谭跃进[1] 

机构地区：[1]国防科技大学信息系统与管理学院,长沙410073

出　　处：《计算机工程与应用》2008年第11期26-30,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.70601035)

摘　　要：不确定条件下的成像卫星调度问题是一个多目标优化问题。借鉴连续函数的鲁棒性优化思想,提出了一种基于邻域的鲁棒性指标,考虑多种约束条件,建立了多目标成像卫星调度模型。在考虑目标间偏好的情况下,提出了一种基于模糊偏好的多目标遗传算法。实例研究表明,该模型和算法能够有效地解决不确定条件下的成像卫星调度问题。It＇s a multi-objective optimization problem for imaging satellite scheduling under uncertainty.A neighborhood-based robustness measure for scheduling is proposed inspired by advances in robust optimization of continuous functions,a multi-objective imaging satellite scheduling model is constructed with many constraints,and a multi-objective genetic algorithm based on fuzzy preferences is put forward.Numerical results indicate that our model and algorithm can solve the imaging satellites scheduling problem under uncertainty effectively.

关 键 词：成像卫星调度 多目标优化 模糊偏好 不确定性 

分 类 号：N945[自然科学总论—系统科学]