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

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

This paper introduces <inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula>-MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA&#x2019;s Deep Space Network (DSN) scheduling pro...

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Bibliographic Details
Main Authors: Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Optimization
optimization methods
scheduling
Online Access:https://ieeexplore.ieee.org/document/9756196/

Internet

https://ieeexplore.ieee.org/document/9756196/

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