@inproceedings{ed8a254844464fe4b5d9f8ebf37749ff,
title = "Solving on agile satellites mission planning based on tabu search-parallel genetic algorithms",
abstract = "Agile satellite becomes mainstream development direction in the new generation of earth observation satellite due to its low cost, light weight, a short development cycles and high accuracy of attitude adjustment. Its mission planning problem is NP-hard difficult characteristics because of satellite attitude maneuver ability. A mathematical model of multi-objective for agile satellite mission planning problem is built on the basis of analysis of the agile satellite observations manner and observational characteristics in this paper, and tabu search-parallel genetic algorithm which designed algorithm encoding structure, genetic manipulation and the flow of entire framework and algorithm is proposed. The results that were analyzed by simulation case indicated the effectiveness and speed of the proposed algorithms which are superior to Immune Clonal Selection Algorithm and Adaptive Ant Colony Algorithm.",
keywords = "agile satellite, genetic algorithms, mission planning, tabu search-parallel",
author = "Hao, \{Hui Chcng\} and Jiang Wei and Li, \{Yi Jun\}",
year = "2013",
doi = "10.1109/ICMSE.2013.6586271",
language = "英语",
isbn = "9781479904716",
series = "International Conference on Management Science and Engineering - Annual Conference Proceedings",
pages = "120--125",
booktitle = "2013 International Conference on Management Science and Engineering, ICMSE 2013 - 20th Annual Conference Proceedings",
note = "2013 20th International Conference on Management Science and Engineering, ICMSE 2013 ; Conference date: 17-07-2013 Through 19-07-2013",
}