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Optimizing Observation Scheduling ObjectivesIn this paper, we present an approach that enables the automatic generation of high quality schedules, with respect to a given objective function. The approach involves the combination of two techniques: GenH, which automatically generates a search heuristic specialized to the given problem instance, and HBSS, which employs the generated heuristic as a bias within a stochastic sampling method.
Document ID
20020052461
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Bresina, John L.
(RECOM Software, Inc. Moffett Field, CA United States)
Morris, Robert A.
(Florida Inst. of Tech. Melbourne, FL United States)
Edgington, William R.
(RECOM Software, Inc. Moffett Field, CA United States)
Date Acquired
August 20, 2013
Publication Date
January 1, 1997
Subject Category
Administration And Management
Meeting Information
Meeting: NASA Workshop on Planning and Scheduling for Space
Location: Oxnard, CA
Country: United States
Start Date: October 27, 1997
End Date: October 30, 1997
Funding Number(s)
PROJECT: RTOP 632-30-00
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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