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Multi-objective multi-user scheduling for space science missions

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dc.contributor.author Johnston, Mark D.
dc.contributor.author Giuliano, Mark
dc.date.accessioned 2015-06-10T22:23:35Z
dc.date.available 2015-06-10T22:23:35Z
dc.date.issued 2010-04-25
dc.identifier.citation SpaceOps Conference 2010, Huntsville, Alabama, April 25-30, 2010 en_US
dc.identifier.clearanceno 10-0766
dc.identifier.uri http://hdl.handle.net/2014/45307
dc.description.abstract We have developed an architecture called MUSE (Multi-User Scheduling Environment) to enable the integration of multi-objective evolutionary algorithms with existing domain planning and scheduling tools. Our approach is intended to make it possible to re-use existing software, while obtaining the advantages of multi-objective optimization algorithms. This approach enables multiple participants to actively engage in the optimization process, each representing one or more objectives in the optimization problem. As initial applications, we apply our approach to scheduling the James Webb Space Telescope, where three objectives are modeled: minimizing wasted time, minimizing the number of observations that miss their last planning opportunity in a year, and minimizing the (vector) build up of angular momentum that would necessitate the use of mission critical propellant to dump the momentum. As a second application area, we model aspects of the Cassini science planning process, including the trade-off between collecting data (subject to onboard recorder capacity) and transmitting saved data to Earth. A third mission application is that of scheduling the Cluster 4-spacecraft constellation plasma experiment. In this paper we describe our overall architecture and our adaptations for these different application domains. We also describe our plans for applying this approach to other science mission planning and scheduling problems in the future. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2010 en_US
dc.subject science planning en_US
dc.title Multi-objective multi-user scheduling for space science missions en_US
dc.type Preprint en_US


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