...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Production Research >Dynamic service resources scheduling method in cloud manufacturing environment
【24h】

Dynamic service resources scheduling method in cloud manufacturing environment

机译：云制造环境中的动态服务资源调度方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Aiming at the characteristics and existing problems of dynamic service resource scheduling in cloud manufacturing (CMfg) environment, this paper studies the scheduling method of CMfg dynamic service resources. Firstly, the problem of optimal scheduling of dynamic service resources is studied. The mechanism of CMfg scheduling is summarised. The operation mechanism and scheduling system of CMfg scheduling are described. Secondly, from the perspective of resource allocation, the CMfg scheduling problem is assumed. The optimal scheduling model of dynamic service resources in CMfg environment is established with the goal of time, cost, quality and capability. Then, the ant optimisation algorithm (AO) is improved, and some functions in the genetic algorithm (GA) are used to optimise the objective function. A genetic-ant optimisation fusion algorithm(GA-AO) is proposed to solve the model. Finally, taking the production of a car component as an example, the algorithm is applied as an example, and compared with the general GA and AO, the model and algorithm proposed in this paper are proved to be more feasible and effective.
机译：旨在云制造（CMFG）环境中动态服务资源调度的特点和存在问题，本文研究了CMFG动态服务资源的调度方法。首先，研究了动态服务资源的最佳调度问题。总结了CMFG调度的机制。描述了CMFG调度的操作机制和调度系统。其次，从资源分配的角度来看，假设CMFG调度问题。建立了CMFG环境中动态服务资源的最佳调度模型，其目标是时间，成本，质量和能力。然后，改进了蚂蚁优化算法（AO），并且遗传算法（GA）中的一些功能用于优化目标函数。提出了一种遗传 - 蚂蚁优化融合算法（GA-AO）来解决模型。最后，通过作为示例的制造，作为示例，作为示例应用算法，并与通用GA和AO相比，本文提出的模型和算法被证明是更可行和有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号