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多星测控调度问题是一个具有多时间窗口、多资源约束的优化问题,其中多星测控任务调度的建模和求解算法是关键。在多活性代理理论的基础上,引入任务调度活性度概念及多活性代理活性保持的协调协商机制,建立基于活性度的多星测控调度模型,并给出一种多活性代理协调协商遗传算法。最后给出实验示例对所提出的算法进行仿真验证。仿真实验表明,所提出的基于多活性代理协商协调的模型及算法能够更好地解决多星测控任务调度问题。
Multi-satellite control scheduling problem is a multi-time window, multi-resource constraints optimization problem, in which the multi-star measurement and control mission scheduling modeling and solving algorithm is the key. Based on the theory of multi-activity agent, this paper introduces the concept of task scheduling activity and the coordination mechanism of multi-active agent activity to establish a multi-star measurement and control scheduling model based on activity and presents a multi-active agent coordination and negotiation genetic algorithm. Finally, an experimental example is given to verify the proposed algorithm. The simulation results show that the proposed model and algorithm based on multi-active agent negotiation and coordination can better solve the multi-star measurement and control task scheduling problem.