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

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.