基于蚁群优化的卫星地面站系统任务调度方法
首发时间:2009-02-17
摘要:卫星及其应用系统任务调度问题是空间资源管理的重要内容之一。卫星地面站系统任务调度是在给定的时间内,对卫星需要执行的任务分配地面站及执行时间,以便卫星能最大限度地完成任务。卫星地面站系统任务调度是一个典型的组合优化问题,优化过程极其复杂。鉴于此,该文提出了一种有效求解卫星地面站系统任务调度问题的蚁群优化算法。蚁群优化是模拟现实世界中的蚁群觅食的行为而提出的一种解决组合优化问题的新算法。该方法具有卓越的全局搜索和群体学习能力。实例计算结果表明,蚁群优化算法能有效地求解卫星地面站系统任务调度问题。
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The Mission Planning of Satellite Ground Station System based on the Ant Colony Optimization Algorithm
Abstract:The mission planning of satellite and its application system is a main content of space resource management. The mission planning of satellite ground station system can be considered as an optimization problem, it allocates the execute time and ground station to tasks implemented by the satellite for maximizing the performance of these finished tasks. The mission planning of satellite ground station system is a representative combinational optimization problem, and its optimization process is very complicated. For this reason, it proposes an effective ant colony optimization algorithm for solving this mission planning problem. Ant colony optimization, one of the metaheu-ristics dedicated to discrete optimization problems, is inspired by the foraging behavior of real ants. At the same time, this new approach has the excellent exploration and information learning abilities. The results obtained from the computational example have shown that this proposed algorithm is a viable and effective approach for the mission planning of satellite ground station system.
Keywords: combinational optimization satellite ground station system ant colony optimization mission planning
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