The present invention relates to Earth Observation (EO) based on satellite remote sensing systems. In particular, the present invention provides an optimized solution to the so-called “Satellite Scheduling Problem” (SSP), which derives from the classical “Resource-Constrained Project Scheduling Problem” (RCPSP).”
Innovative satellite scheduling method based on genetic algorithms and simulated annealing and related mission planner / Bunkheila, F.; Circi, C.. - (2017).
Innovative satellite scheduling method based on genetic algorithms and simulated annealing and related mission planner
CIRCI C.
2017
Abstract
The present invention relates to Earth Observation (EO) based on satellite remote sensing systems. In particular, the present invention provides an optimized solution to the so-called “Satellite Scheduling Problem” (SSP), which derives from the classical “Resource-Constrained Project Scheduling Problem” (RCPSP).”File allegati a questo prodotto
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