Heuristic scheduling algorithm oriented dynamic tasks for imaging satellites

Tools

Wang, Maocai and Dai, Guangming and Vasile, Massimiliano (2014) Heuristic scheduling algorithm oriented dynamic tasks for imaging satellites. Mathematical Problems in Engineering, 2014. 234928. ISSN 1024-123X (https://doi.org/10.1155/2014/234928)

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Abstract

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.

ORCID iDs

Wang, Maocai, Dai, Guangming and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
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