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eess.SY2026
Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo
Jannik Graebner, Ryne Beeson
Preliminary low-thrust spacecraft mission design is a global search problem characterized by a complex solution landscape, multiple objectives, and numerous local minima. During th…
eess.SY2025
Gradient-Informed Monte Carlo Fine-Tuning of Diffusion Models for Low-Thrust Trajectory Design
Jannik Graebner, Ryne Beeson
Preliminary mission design of low-thrust spacecraft trajectories in the Circular Restricted Three-Body Problem is a global search characterized by a complex objective landscape and…
eess.SY2025
Global Search for Optimal Low Thrust Spacecraft Trajectories using Diffusion Models and the Indirect Method
Jannik Graebner, Ryne Beeson
Long time-duration low-thrust nonlinear optimal spacecraft trajectory global search is a computationally and time expensive problem characterized by clustering patterns in locally…