云制造环境下基于蚁群算法资源动态调度优化  

Cloud Manufacturing Environment Resource Dynamic Scheduling Based on Ant Colony Algorithm is Optimized

作　　者：江笑妍 李芳[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《物流科技》2016年第1期24-27,共4页Logistics Sci-Tech

摘　　要：动态资源调度是云制造中的一个关键问题。通过对资源动态在云制造环境下服务特点的了解,提出了基于蚁群算法的资源动态调度函数,以云服务提供者找到相对应的云服务使用者进行任务封装的时间最短为目标。通过Matlab优化了原有的资源动态服务模型,达到了预期的效果,对以后云制造下资源动态的调度具有指导意义。Dynamic resource scheduling is a key problem in cloud manufacturing. Based on resources dynamic characteristics untier the environment of cloud manufacturing service, proposed based on ant colony ＂,algorithm resources dynamic scheduling function, aiming at the cloud service providers to find the corresponding task encapsulates the cloud service users the shortest time. The original resource dynamic service model was optimized by Matlab, reach the expected effect, under the cloud after manufacturing resources dynanlic scheduling has a guiding significance.

关 键 词：云制造 蚁群算法 资源动态调度函数 MATLAB 

分 类 号：F253.9[经济管理—国民经济]