Mark D. Johnston

发表

Multi-Objective Scheduling for NASA’s Future Deep Space Network Array

Mark D. Johnston, 2006 .

Analyzing a Heuristic Strategy for Constraint-Satisfaction and Scheduling

Steven Minton, Mark D. Johnston, Steven Minton, 2007 .

The application of artificial intelligence to astronomical scheduling problems

Mark D. Johnston, 1992 .

The DSN Scheduling Engine (DSE): Automated Scheduling of Activities for the NASA Deep Space Network

Mark D. Johnston, Daniel Tran, 2010 .

Multi-Objective Scheduling for Space Science Missions

Mark D. Johnston, Mark E. Giuliano, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Developer Tools for Evaluating Multi-Objective Algorithms

Mark D. Johnston, Mark Giuliano, 2011 .

Automating Deep Space Network scheduling and conflict resolution

Mark D. Johnston, Bradley J. Clement, 2006, AAMAS '06.

Knowledge based telescope scheduling

Mark D. Johnston, 1989 .

Stolving Large-Scale Constraint Satisfaction an Scheduling Problems Using a epair Metho

Mark D. Johnston, Philip Laird, Steven Mintonl, 1990 .

Deep Space Network Scheduling Using Multi-Objective Optimization with Uncertainty

Mark D. Johnston, 2008 .

Request-Driven Schedule Automation for the Deep Space Network

Mark D. Johnston, Daniel Tran, Belinda Arroyo, 2010 .

Spacecraft Block Scheduling for NASA’s Deep Space Network

Sven G. Bilen, Mark D. Johnston, Timothy M. Hackett, 2018 .

Long-range science scheduling for the Hubble Space Telescope

Mark D. Johnston, Glenn E. Miller, 1991 .

Integrated Planning and Scheduling for NASA’s Deep Space Network – from Forecasting to Real-time

Mark D. Johnston, Jigna Lad, 2018 .

A Collaborative Scheduling Environment for NASA's Deep Space Network

Mark D. Johnston, Mike Wallace, Butch Carruth, 2010 .

An expert system approach to astronomical data analysis

Mark D. Johnston, 1987 .

Design of a Deep Space Network Scheduling Application

Mark D. Johnston, Bradley J. Clement, M. Johnston, 2006 .

An Evolutionary Algorithm Approach To Multi-Objective Scheduling Of Space Network Communications

Mark D. Johnston, 2008, Intell. Autom. Soft Comput..

Scheduling Tools for Astronomical Observations

Mark D. Johnston, 1996 .

SPIKE: AI scheduling techniques for Hubble Space Telescope

Mark D. Johnston, 1991 .

The min-conflicts heuristic: Experimental and theoretical results

Steven Minton, Mark D. Johnston, Philip Laird, 1991 .

DSN Scheduling Engine

Mark D. Johnston, Bradley J. Clement, Caroline Chouinard, 2008 .

Request-Driven Scheduling for NASA's Deep Space Network

Mark D. Johnston, Daniel Tran, Chris Page, 2009 .

Multi-Objective Multi-User Scheduling for Space Science Missions

Mark D. Johnston, Mark Giuliano, 2010 .

Spike: Artificial intelligence scheduling for Hubble space telescope

Mark D. Johnston, Glenn E. Miller, Shon Vick, 1990 .

Data reduction expert assistant

Robert J. Hanisch, Mark D. Johnston, Glenn E. Miller, 1991 .

Affatus and the sources of Llul´s Latin Vocabulary

Mark D. Johnston, 1990 .

Solving Large-Scale Constraint-Satisfaction and Scheduling Problems Using a Heuristic Repair Method

Steven Minton, Mark D. Johnston, Andrew B. Philips, 1990, AAAI.

Improved CLARAty Functional-Layer/Decision-Layer Interface

Tara Estlin, Daniel Gaines, Mark D. Johnston, 2008 .

Scheduling automated telescopes.

Mark D. Johnston, Glenn E. Miller, 1988 .

System Security and Data Maintenace for the Academic Computing User

Mark D. Johnston, 1998 .

Integrating Space Communication Network Capabilities via Web Portal Technologies

Kar-Ming Cheung, Mark D. Johnston, Mike Wallace, 2014 .

Experience with a Constraint and Preference Language for DSN Communications Scheduling

Mark D. Johnston, Bradley J. Clement, Steven R. Schaffer, 2008 .

The proposal entry processor: Telescience applications for Hubble Space Telescope science operations

Mark D. Johnston, Joel Richon, Glenn E. Miller, 1988 .

Automated Scheduling for NASA's Deep Space Network

Mark D. Johnston, Mike Wallace, Daniel Tran, 2014, AI Mag..

A generalized timeline representation, services, and interface for automating space mission operations

Christoph Lenzen, Steve Chien, Mark D. Johnston, 2012, SpaceOps 2012 Conference.

Expert systems tools for hubble space telescope observation scheduling

William W. Cohen, Mark D. Johnston, Glenn E. Miller, 1987 .

A day in the life of the Mars rover - Capabilities of the rover system architecture in realistic simulations

Mark D. Johnston, Donald A. Rosenthal, 1991 .

An approach to rescheduling activities based on determination of priority and disruptivity

Mark D. Johnston, Jeffrey L. Sponsler, 1990 .

Artificial Intelligence Approaches to Spacecraft Scheduling

Mark D. Johnston, 2009 .

Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope

Mark D. Johnston, Mark E. Giuliano, 2008, ICAPS.

MAIZE: a 1 MA LTD‐Driven Z‐Pinch at The University of Michigan

Wilkin Tang, V. A. Sinebryukhov, Michael G. Mazarakis, 2009 .

Integrating AI Planning for Telepresence with Time Delays

Mark D. Johnston, Kenneth J. Rabe, M. Johnston, 2006, AAAI Fall Symposium: Spacecraft Autonomy.

Learning in stochastic neural networks for constraint satisfaction problems

Mark D. Johnston, Hans-Martin Adorf, H. Adorf, 1989 .

Complexity-Based Link Assignment for NASA’s Deep Space Network for Follow-the-Sun Operations

Mark D. Johnston, Daniel Tran, Kenneth Roffo, 2018 .

Development of an expert data reduction assistant

Robert J. Hanisch, Mark D. Johnston, Glenn E. Miller, 1993 .

Digital Imaging Standards for Research and Teaching

Mark D. Johnston, 2001 .

Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems

Steven Minton, Steven N. Minton, Mark D. Johnston, 1992, Artif. Intell..

Spike: AI scheduling for Hubble Space Telescope after 18 months of orbital operations

Mark D. Johnston, 1992 .

A discrete stochastic neural network algorithm for constraint satisfaction problems

Mark D. Johnston, Hans-Martin Adorf, H. Adorf, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Knowledge based tools for hubble space telescope planning and scheduling: constraints and strategies

Mark D. Johnston, Glenn E. Miller, Shon Vick, 1988 .

Spike: AI scheduling for NASA's Hubble Space Telescope

Mark D. Johnston, M. Johnston, 1990, Sixth Conference on Artificial Intelligence for Applications.

Scheduling with neural networks - the case of the hubble space telescope

Mark D. Johnston, Hans-Martin Adorf, H. Adorf, 1992, Comput. Oper. Res..

Automating Mid- and Long-Range Scheduling for NASA's Deep Space Network

Mark D. Johnston, Mike Wallace, Daniel Tran, 2012 .

The Deep Space Network Scheduling Problem

Mark D. Johnston, Bradley J. Clement, M. Johnston, 2005, AAAI.

Experiments with a Parallel Multi-Objective Evolutionary Algorithm for Scheduling

Mark D. Johnston, Matthew Brown, 2013 .

Artificial intelligence scheduling for NASA's Hubble Space Telescope

Glenn E. Miller, Mark D. Johnston, 1990, [1990] Proceedings. The Fifth Annual AI Systems in Government Conference.

Multi-objective scheduling for the Cluster II Constellation

Mark D. Johnston, Mark Giuliano, M. Johnston, 2011 .

An AI scheduling environment for the Hubble Space Telescope

Glenn E. Miller, Mark D. Johnston, Michael Lucks, 1991 .

An expert system for ground support of the Hubble space telescope

Glenn E. Miller, Mark D. Johnston, Patricia Monger, 1986 .

Automated observation scheduling for the VLT

Mark D. Johnston, 1988 .

Improving the observing efficiency of Hubble Space Telescope

Andrew Gerb, Mark D. Johnston, Mark Giuliano, 1993 .

A case study of Hubble Space Telescope proposal processing, planningand long-range scheduling

Glenn E. Miller, Mark D. Johnston, 1991 .

Artificial Intelligence Approaches to Astronomical Observation Scheduling

Glenn E. Miller, Mark D. Johnston, 1989 .