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首页> 外文期刊>Chinese journal of aeronautics >Satellite Constellation Design with Adaptively Continuous Ant System Algorithm
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Satellite Constellation Design with Adaptively Continuous Ant System Algorithm

机译：自适应连续蚁群算法的卫星星座设计

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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 methods.
机译：蚂蚁系统算法（ASA）已被证明是解决许多多变量问题的一种新颖的元启发式算法。本文分析了卫星星座的地球覆盖率，并提出了n + 1倍的覆盖率来评估卫星星座的覆盖性能。基于覆盖性能，建立星座参数的优化模型。作为一种新开发的方法，ASA可以用于优化星座参数。为了改善ASA，提出了一种自适应的蚂蚁数量规则，通过该规则，搜索范围明显扩大，收敛速度加快。仿真结果表明，ASA比其他方法更快，更有效。

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