改进的细菌觅食算法在航空装备维修任务调度优化中的应用

Improved Bacteria Foraging Optimization Algorithm and its Application in Aviation Equipment Scheduled Maintenance

摘要:

以海军航空装备定检维修工作为原型,将一种新兴的仿生全局随机搜索算法——细菌觅食优化算法应用到该类任务调度问题的解决中,对算法进行了改进,增强了全局寻优能力,并将其应用于工程实践,对维修任务工序进行优化调度。对于提高航空装备维修工作效率和指挥自动化水平,提高资源利用率,降低保障维修费用,有较好的应用价值。

Abstract:

Taking an aviation equipment repair factory as the background, are improved BFO algorithm was used to the job-shop problem, the virtual reality optimal scheduling system was designed and implemented, which will realize optimal scheduling of the maintenance process. The system had good application value and could improve the efficiency and command automation level of the aviation equipment maintenance, and improve the utilization of resources, reduce the cost of maintenance support.