Abstract
A scheduling algorithm for satellites imaging tasks in a dynamic and uncertain environment. The environment is dynamic in the sense that imaging tasks will be added or removed from the given scenario and in addition, the parameters of individual tasks can change. The technique proposed develops an expert scheduling behaviour as opposed to a robust static schedule by using an evolutionary ALife methodology.
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© 2004 Springer-Verlag Berlin Heidelberg
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Chitty, D.M. (2004). An Evolved Autonomous Controller for Satellite Task Scheduling. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_23
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DOI: https://doi.org/10.1007/978-3-540-24854-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22344-3
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