A Dynamic Scheduling Method of Earth-Observing Satellites by Employing Rolling Horizon Strategy
نویسندگان
چکیده
منابع مشابه
A Dynamic Scheduling Method of Earth-Observing Satellites by Employing Rolling Horizon Strategy
Focused on the dynamic scheduling problem for earth-observing satellites (EOS), an integer programming model is constructed after analyzing the main constraints. The rolling horizon (RH) strategy is proposed according to the independent arriving time and deadline of the imaging tasks. This strategy is designed with a mixed triggering mode composed of periodical triggering and event triggering, ...
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We hypothesize that evolutionary algorithms can effectively schedule coordinated fleets of Earth observing satellites. The constraints are complex and the bottlenecks are not well understood, a condition where evolutionary algorithms are often effective. This is, in part, because evolutionary algorithms require only that one can represent solutions, modify solutions, and evaluate solution fitne...
متن کاملScheduling Earth Observing Satellites with Evolutionary Algorithms
A growing fleet of NASA, commercial, and foreign Earth observing satellites (EOS) uses a variety of sensing technologies for scientific, mapping, defense and commercial activities. Image collection for these satellites is planned and scheduled by a variety of software systems using many techniques. Scheduling EOS is complicated by a number of important constraints, including: power and thermal ...
متن کاملScheduling Earth Observing Satellites with Evolutionary Algorithms
We hypothesize that evolutionary algorithms can effectively schedule coordinated fleets of Earth observing satellites. The constraints are complex and the bottlenecks are not well understood, a condition where evolutionary algorithms are often effective. This is, in part, because evolutionary algorithms require only that one can represent solutions, modify solutions, and evaluate solution fitne...
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Scheduling observations by coordinated fleets of Earth Observing Satellites (EOS) involves large search spaces, complex constraints and poorly understood bottlenecks; conditions where stochastic algorithms are often effective. However, there are many such algorithms and the best one to use is not obvious. Here we compare multiple variants of the genetic algorithm, hill climbing, simulated annea...
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ژورنال
عنوان ژورنال: The Scientific World Journal
سال: 2013
ISSN: 1537-744X
DOI: 10.1155/2013/304047