Edwin Y. Goh

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-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

7 citations · 7 across the 4 of their papers we have counts for

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math.OC2021★ 7 cited

$Δ$ -MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

Thomas Claudet, Ryan Alimo, Edwin Goh +3

This paper introduces $Δ$ -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling problem…

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

$Δ$ -MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming