Mission Planning of Satellite Ground Station System Based on the Hybrid Ant Colony Optimization
基于混合蚁群优化的卫星地面站系统任务调度方法

The mission planning of satellite ground station system is a representative of combinative optimization problem,and its optimization process is very complicated.For this reason,this paper proposes a hybrid approach which combines the ant colony optimization with guided local search to solve this problem.The optimization performance is improved largely by effectively integrating guided local search with ant colony optimization.Experimental results suggest that the proposed algorithm is a viable and effective approach for the mission planning of satellite ground station system.