Solving Large-Scale Constraint-Satisfaction and Scheduling Problems Using a Heuristic Repair Method. - Steven Minton; Mark D. Johnston; Andrew B. Philips; Philip Laird (AAAI, 1990)

A discrete stochastic neural network algorithm for constraint satisfaction problems. - Hans-Martin Adorf; Mark D. Johnston (IJCNN, 1990)

Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems. - Steven Minton; Mark D. Johnston; Andrew B. Philips; Philip Laird (Artif. Intell., 1992)

Scheduling with neural networks - the case of the hubble space telescope. - Mark D. Johnston; Hans-Martin Adorf (Comput. Oper. Res., 1992)

The Deep Space Network Scheduling Problem. - Bradley J. Clement; Mark D. Johnston (AAAI, 2005)

Integrating AI Planning for Telepresence with Time Delays. - Mark D. Johnston; Kenneth J. Rabe (AAAI Fall Symposium: Spacecraft Autonomy, 2006)

Automating Deep Space Network scheduling and conflict resolution. - Mark D. Johnston; Bradley J. Clement (AAMAS, 2006)

Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope. - Mark E. Giuliano; Mark D. Johnston (ICAPS, 2008)

An Evolutionary Algorithm Approach To Multi-Objective Scheduling Of Space Network Communications. - Mark D. Johnston (Intell. Autom. Soft Comput., 2008)

Multi-Objective Scheduling for Space Science Missions. - Mark D. Johnston; Mark E. Giuliano (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Automated Scheduling for NASA's Deep Space Network. - Mark D. Johnston; Daniel Tran; Belinda Arroyo; Sugi Sorensen; Peter Tay; Butch Carruth; Adam Coffman 003; Mike Wallace (AI Mag., 2014)

Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. - Edwin Goh; Hamsa Shwetha Venkataram; Mark Hoffmann; Mark D. Johnston; Brian Wilson (CoRR, 2021)

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. - Thomas Claudet; Ryan Alimo; Edwin Goh; Mark D. Johnston; Ramtin Madani; Brian Wilson (IEEE Access, 2022)