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Satellite Constellation Design with Adaptively Continuous Ant System Algorithm
引用本文:He Quan Han Chao. Satellite Constellation Design with Adaptively Continuous Ant System Algorithm[J]. 中国航空学报, 2007, 20(4): 297-303
作者姓名:He Quan Han Chao
作者单位:School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
摘    要:The ant system algorithm (ASA) has proved to be a novel meta-heuristic algorithm to solve many multivariable problems. In this paper, the earth coverage of satellite constellation is analyzed and a n + 1^ -fold coverage rate is put forward to evaluate the coverage performance of a satellite constellation. An optimization model of constellation parameters is established on the basis of the coverage performance. As a newly developed method, ASA can be applied to optimize the constellation parameters. In order to improve the ASA, a rule for adaptive number of ants is proposed, by which the search range is obviously enlarged and the convergence speed increased. Simulation results have shown that the ASA is more quick and efficient than other methodV211.71s.

关 键 词:蚂蚁系统算法 卫星星座 优化设计 覆盖性能 适应调节
修稿时间:2006-12-042007-04-28

Satellite Constellation Design with Adaptively Continuous Ant System Algorithm
He Quan,Han Chao School of Astronautics,Beijing University of Aeronautics and Astronautics,Beijing ,China. Satellite Constellation Design with Adaptively Continuous Ant System Algorithm[J]. Chinese Journal of Aeronautics, 2007, 20(4): 297-303
Authors:He Quan  Han Chao School of Astronautics  Beijing University of Aeronautics  Astronautics  Beijing   China
Affiliation:He Quan,Han Chao School of Astronautics,Beijing University of Aeronautics and Astronautics,Beijing 100083,China
Abstract:
Keywords:ant system algorithm   satellite constellation   optimization design   coverage performance   adaptive adjusting
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