基于蜂群算法的舰艇编队维修作业调度方法

The Maintenance Job Scheduling of the Ship Formation Based on the Wasp Colony Algorithm

摘要:

针对编队维修保障系统需要对编队内所有舰艇装备提供快速有效的保障,使之具有持续作战能力,将维修保障过程中涉及的机构及资源,分割为功能相对独立的多个智能体Agent,并提出基于多Agent的具有良好扩展性和智能性的舰艇编队保障体系架构。基于该架构中Agent单元的特点,提出基于蜂群算法的任务调度优化方法,该方法可缩短舰艇编队维修时间。

Abstract:

The persistent combat capabilities of a ship formation are based on efficiently maintaining all the ship equipment which is the requirement of the whole maintenance supportability of the formation. In this paper, the organization and materials which were involved in the maintenance processing were splited into independent intelligent multi-agents, and then the maintenance support architecture of naval ship formation based on multi-agents was introduced. This architecture had good extensibility and intelligence. Based on the agent of this architecture, a method, which adopted wasp colony algorithm, was put forward to optimize the maintenance job scheduling for shortening the maintenance time cost.