A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems
Da-Wei Jin and
Li-Ning Xing
Journal of Applied Mathematics, 2013, vol. 2013, 1-7
Abstract:
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.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/JAM/2013/913450.pdf (application/pdf)
http://downloads.hindawi.com/journals/JAM/2013/913450.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:913450
DOI: 10.1155/2013/913450
Access Statistics for this article
More articles in Journal of Applied Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().