7 citations · 9 across the 3 of their papers we have counts for
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math.OC2021★ 7 cited
-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming
Thomas Claudet, Ryan Alimo, Edwin Goh +3
This paper introduces -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling problem…
cs.LG2021
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning
Edwin Goh, Hamsa Shwetha Venkataram, Mark Hoffmann +2
With three complexes spread evenly across the Earth, NASA's Deep Space Network (DSN) is the primary means of communications as well as a significant scientific instrument for dozen…