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Heuristic Scheduling Algorithm Oriented Dynamic Tasks for Imaging Satellites
Joint Authors
Vasile, Massimiliano
Wang, Maocai
Dai, Guangming
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Imaging satellite scheduling is an NP-hard problem with many complex constraints.
This paper researches the scheduling problem for dynamic tasks oriented to some emergency cases.
After the dynamic properties of satellite scheduling were analyzed, the optimization model is proposed in this paper.
Based on the model, two heuristic algorithms are proposed to solve the problem.
The first heuristic algorithm arranges new tasks by inserting or deleting them, then inserting them repeatedly according to the priority from low to high, which is named IDI algorithm.
The second one called ISDR adopts four steps: insert directly, insert by shifting, insert by deleting, and reinsert the tasks deleted.
Moreover, two heuristic factors, congestion degree of a time window and the overlapping degree of a task, are employed to improve the algorithm’s performance.
Finally, a case is given to test the algorithms.
The results show that the IDI algorithm is better than ISDR from the running time point of view while ISDR algorithm with heuristic factors is more effective with regard to algorithm performance.
Moreover, the results also show that our method has good performance for the larger size of the dynamic tasks in comparison with the other two methods.
American Psychological Association (APA)
Wang, Maocai& Dai, Guangming& Vasile, Massimiliano. 2014. Heuristic Scheduling Algorithm Oriented Dynamic Tasks for Imaging Satellites. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456017
Modern Language Association (MLA)
Wang, Maocai…[et al.]. Heuristic Scheduling Algorithm Oriented Dynamic Tasks for Imaging Satellites. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-456017
American Medical Association (AMA)
Wang, Maocai& Dai, Guangming& Vasile, Massimiliano. Heuristic Scheduling Algorithm Oriented Dynamic Tasks for Imaging Satellites. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456017