A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems
The multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. Th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/913450 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564850332532736 |
|---|---|
| author | Da-Wei Jin Li-Ning Xing |
| author_facet | Da-Wei Jin Li-Ning Xing |
| author_sort | Da-Wei Jin |
| collection | DOAJ |
| description | The multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches. |
| format | Article |
| id | doaj-art-c0c4d7e670db42a3973a02b3a6c75b0b |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-c0c4d7e670db42a3973a02b3a6c75b0b2025-02-03T01:10:09ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/913450913450A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning ProblemsDa-Wei Jin0Li-Ning Xing1Information and Safety School, Zhongnan University of Economic and Law, Wuhan 430073, ChinaCollege of Information System and Management, National University of Defense Technology, Changsha 410073, ChinaThe multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches.http://dx.doi.org/10.1155/2013/913450 |
| spellingShingle | Da-Wei Jin Li-Ning Xing A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems Journal of Applied Mathematics |
| title | A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems |
| title_full | A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems |
| title_fullStr | A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems |
| title_full_unstemmed | A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems |
| title_short | A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems |
| title_sort | knowledge based simulated annealing algorithm to multiple satellites mission planning problems |
| url | http://dx.doi.org/10.1155/2013/913450 |
| work_keys_str_mv | AT daweijin aknowledgebasedsimulatedannealingalgorithmtomultiplesatellitesmissionplanningproblems AT liningxing aknowledgebasedsimulatedannealingalgorithmtomultiplesatellitesmissionplanningproblems AT daweijin knowledgebasedsimulatedannealingalgorithmtomultiplesatellitesmissionplanningproblems AT liningxing knowledgebasedsimulatedannealingalgorithmtomultiplesatellitesmissionplanningproblems |