Abstract: 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.

Key words: imaging satellites scheduling, multi-objective optimization, fuzzy preference, uncertainty

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。

关键词: 成像卫星调度, 多目标优化, 模糊偏好, 不确定性