ALL
ALL
Johnston
Request-Driven Scheduling for NASA's Deep Space Network
International Workshop on Planning and Scheduling for Space
(IWPSS 2009).
Pasadena, CA.
2009
+ PDF
CL#09-2267
MUSE: The Multi-User Scheduling Environment for Multi-Objective Scheduling of Space Science Missions
IJCAI Workshop on Space Applications of AI
(IJCAI 2009).
Pasadena, CA.
2009
+ PDF
CL#09-2844
Multi-Objective Evolutionary Algorithms for Scheduling the James Webb Space Telescope
International Conference on Automated Planning and Scheduling
(ICAPS 2008).
Sydney, Australia.
2008
+ PDF
CL#08-2782
Deep Space Network Scheduling Using Multi-Objective Optimization with Uncertainty
SpaceOps
(SpaceOps 2008).
HeidelBerg, Germany..
2008
+ PDF
CL#08-0999
An Evolutionary Algorithm Approach to Multi-Objective Scheduling of Space Network Communications
Intelligent Automation and Soft Computing
.
14
2008
.
+ PDF
CL#07-1243
Lights Out Autonomous Operation of an Earth Observing Sensorweb
International Symposium on Reducing the Cost of Spacecraft Ground Systems and Operations
(RCSGSO 2007).
Moscow, Russia.
June
2007
+ PDF
CL#07-1702
Design of a Deep Space Scheduling System
International Workshop on Planning and Scheduling for Space
(IWPSS 2006).
Baltimore, MD.
October
2006
+ PDF
CL#05-1007
Multi-Objective Scheduling for NASA's Deep Space Network Array
International Workshop on Planning and Scheduling for Space
(IWPSS 2006).
Baltimore, MD.
October
2006
+ PDF
CL#06-2907
Integrating AI Planning for Telepresence with Time Delays
AAAI Fall Symposium on Spacecraft Autonomy.
Washington, DC.
October
2006
+ PDF
CL#06-2753
The Deep Space Network Scheduling Problem
Innovative Applications of Artificial Intelligence Conference
(IAAI 2005).
Pittsburgh, PA.
July
2005
CL#05-1007
Automating Deep Space Network Scheduling and Conflict Resolution
International Symposium on Artificial Intelligence, Robotics, and Automation in Space
(i-SAIRAS 2005).
Munich, Germany.
September
2005
+ PDF
CL#05-1739
Optimizing Observing Sequence Design for Periodic and Non-periodic Phenomena: A Bayesian Approach
Astronomical Data Analysis Software and Systems
(ADASS 2005).
San Lorenzo de El Escorial, Spain.
October
2005
+ PDF
CL#04-3448