An amortized CVAE-plus-LSTM generator produces warm-start guesses that more than double solver convergence success and cut median solve time by about 2.5 to 5 times for held-out thrust levels in an Earth-Moon low-thrust transfer problem.
Near-optimal low-thrust orbit transfers generated by a genetic algorithm,
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Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models
An amortized CVAE-plus-LSTM generator produces warm-start guesses that more than double solver convergence success and cut median solve time by about 2.5 to 5 times for held-out thrust levels in an Earth-Moon low-thrust transfer problem.