关键词: 成像卫星调度, 多目标优化, 模糊偏好, 不确定性

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