基于多Agent技术的低可观测飞行器任务规划求解方法

为了提高低可观测飞行器任务规划系统的规划效率，应用分布式人工智能多Agent智能体技术，建立了飞行器任务规划系统求解方法。在描述任务规划目标函数和约束条件基础上，对系统组成、Agent类型定义、分层考虑及Agent之间的协商通信进行了系统研究。使用这种方法可将复杂问题分解为较简单的问题进行分步式求解，具有缩短规划时间、减少规划费用、提高规划质量等优点。

Mission-planning system of low observation aircraft based on multi-Agent technique

With artificial intelligence multi-agent technique, a solution for the mission planning of the low observation aircraft to advance the efficiency was presented. Based on the deseription of the object functions and constraint qualifications of the planning, the structure and rank of the mission system, definition of the Agent types, and the negotiation communication between the agents were systematically studied. It is demonstrated that this solution can transform a complicated problem into several simple ones. Therefore, the time and cost of planning can be reduced, and quality of the mission planning can be greatly improved.