Abstract:

Spaceground telemetry, track and command (TT&C) resource integrated scheduling problem is a typical large combinative optimization problem, and its optimization process is very complicated. Single ant colony optimization (ACO) strategy has disadvantages of low efficiency and poor solution performance. For this reason,the genetic ACO hybrid algorithm, (GA-ACO) which combines the ACO with genetic algorithm (GA) is proposed to solve this problem. The GA is used to accelerate the low optimization efficiency due to the lack of pheromone in ACO in the early stage and prevent premature convergence. Results indicate that the proposed method performs better than the previously presented methods and is a viable and effective approach, which is suitable to solve the spaceground TT&C resource integrated scheduling problem.