| Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems S Minton, MD Johnston, AB Philips, P Laird Artificial intelligence 58 (1-3), 161-205, 1992 | 1295 | 1992 |
| Solving large-scale constraint satisfaction and scheduling problems using a heuristic repair method S Minton, MD Johnston, AB Philips, P Laird Proceedings of the eighth National conference on Artificial intelligence …, 1990 | 467 | 1990 |
| A discrete stochastic neural network algorithm for constraint satisfaction problems HM Adorf, MD Johnston 1990 IJCNN International Joint Conference on Neural Networks, 917-924, 1990 | 177 | 1990 |
| Spike: Intelligent scheduling of hubble space telescope observations MD Johnston, G Miller Intelligent Scheduling 19, 3-5, 1994 | 142 | 1994 |
| Spike: Ai scheduling for nasa's hubble space telescope MD Johnston Sixth Conference on Artificial Intelligence for Applications, 184,185,186 …, 1990 | 86 | 1990 |
| Scheduling with neural networks—the case of the Hubble Space Telescope MD Johnston, HM Adorf Computers & operations research 19 (3-4), 209-240, 1992 | 85 | 1992 |
| The deep space network scheduling problem BJ Clement, MD Johnston Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2005 | 77 | 2005 |
| Generalized Wilkins effect and selected orbits in a Kerr-Newman geometry M Johnston, R Ruffini Physical Review D 10 (8), 2324, 1974 | 64 | 1974 |
| Gravitationally induced electromagnetic radiation M Johnston, R Ruffini, F Zerilli Physical Review Letters 31 (21), 1317, 1973 | 61 | 1973 |
| Analyzing a heuristic strategy for constraint satisfaction and scheduling M Johnston, S Minton Intelligent scheduling, 257-289, 1994 | 58 | 1994 |
| Electromagnetically induced gravitational radiation M Johnston, R Ruffini, F Zerilli Physics Letters B 49 (2), 185-188, 1974 | 47 | 1974 |
| Learning in stochastic neural networks for constraint satisfaction problems MD Johnston, HM Adorf JPL, California Inst. of Tech., Proceedings of the NASA Conference on Space …, 1989 | 37 | 1989 |
| Knowledge based tools for Hubble Space Telescope planning and scheduling: constraints and strategies G Miller, K Lindenmayer, M Johnston, S Vick, J Sponsler Telematics and Informatics 5 (3), 197-212, 1988 | 35 | 1988 |
| Automated scheduling for NASA's deep space network MD Johnston, D Tran, B Arroyo, S Sorensen, P Tay, B Carruth, A Coffman, ... AI Magazine 35 (4), 7-25, 2014 | 32 | 2014 |
| Automated observation scheduling for the VLT MD Johnston | 32 | 1988 |
| Automated telescope scheduling MD Johnston Coordination of Observational Projects in Astronomy, 219-227, 1988 | 31 | 1988 |
| An evolutionary algorithm approach to multi-objective scheduling of space network communications MD Johnston Intelligent Automation & Soft Computing 14 (3), 367-376, 2008 | 30 | 2008 |
| Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope. ME Giuliano, MD Johnston ICAPS, 107-115, 2008 | 27 | 2008 |
| Knowledge based telescope scheduling MD Johnston Knowledge-Based Systems in Astronomy, 33-49, 2005 | 27 | 2005 |
| Expert systems tools for Hubble Space Telescope observation scheduling G Miller, D Rosenthal, W Cohen, M Johnston Telematics and Informatics 4 (4), 301-311, 1987 | 27 | 1987 |
