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Mark D. Johnston
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2020 – today
- 2022
- [j6]Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. IEEE Access 10: 41330-41340 (2022) - 2021
- [i2]Edwin Goh, Hamsa Shwetha Venkataram, Mark Hoffmann, Mark D. Johnston, Brian Wilson:
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. CoRR abs/2102.05167 (2021) - [i1]Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. CoRR abs/2111.11628 (2021)
2010 – 2019
- 2014
- [j5]Mark D. Johnston, Daniel Tran, Belinda Arroyo, Sugi Sorensen, Peter Tay, Butch Carruth, Adam Coffman, Mike Wallace:
Automated Scheduling for NASA's Deep Space Network. AI Mag. 35(4): 7-25 (2014) - 2011
- [j4]Mark D. Johnston, Mark E. Giuliano:
Multi-Objective Scheduling for Space Science Missions. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1140-1148 (2011)
2000 – 2009
- 2008
- [j3]Mark D. Johnston:
An Evolutionary Algorithm Approach To Multi-Objective Scheduling Of Space Network Communications. Intell. Autom. Soft Comput. 14(3): 367-376 (2008) - [c6]Mark E. Giuliano, Mark D. Johnston:
Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope. ICAPS 2008: 107-115 - 2006
- [c5]Mark D. Johnston, Kenneth J. Rabe:
Integrating AI Planning for Telepresence with Time Delays. AAAI Fall Symposium: Spacecraft Autonomy 2006: 43-49 - [c4]Mark D. Johnston, Bradley J. Clement:
Automating Deep Space Network scheduling and conflict resolution. AAMAS 2006: 1483-1489 - 2005
- [c3]Bradley J. Clement, Mark D. Johnston:
The Deep Space Network Scheduling Problem. AAAI 2005: 1514-1520
1990 – 1999
- 1992
- [j2]Steven Minton, Mark D. Johnston, Andrew B. Philips, Philip Laird:
Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems. Artif. Intell. 58(1-3): 161-205 (1992) - [j1]Mark D. Johnston, Hans-Martin Adorf:
Scheduling with neural networks - the case of the hubble space telescope. Comput. Oper. Res. 19(3-4): 209-240 (1992) - 1990
- [c2]Steven Minton, Mark D. Johnston, Andrew B. Philips, Philip Laird:
Solving Large-Scale Constraint-Satisfaction and Scheduling Problems Using a Heuristic Repair Method. AAAI 1990: 17-24 - [c1]Hans-Martin Adorf, Mark D. Johnston:
A discrete stochastic neural network algorithm for constraint satisfaction problems. IJCNN 1990: 917-924
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