计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (7): 40-44.

• 理论研究、研发设计 • 上一篇    下一篇

Holon制造系统的遗传蚁群算法求解

蒋  兆,台玉红   

  1. 上海理工大学 管理学院,上海 200093
  • 出版日期:2015-04-01 发布日期:2015-03-31

Genetic ant colony algorithm for solving Holon manufacturing system

JIANG Zhao, TAI Yuhong   

  1. School of Management, Shanghai University of Science and Technology, Shanghai 200093, China
  • Online:2015-04-01 Published:2015-03-31

摘要: 在市场环境的不确定性、市场竞争加剧的背景下,要求企业之间的远程服务紧密联系。因此,高可靠性的远程服务动态优化协调成为现代企业发展先进智能制造系统所要解决的重要问题。为此,将Holon理论引入到企业远程服务配置中,运用遗传蚁群混合算法的运用来提高Holon制造系统的健壮性,解决跨地域企业之间远程服务的配置和调度过程中的协商问题。

关键词: Holon, 制造企业, 遗传蚁群算法, 企业远程服务配置, 优化调度

Abstract: Under the background of market competition intensifying and the uncertainty of market environment, it requires enterprises closely linked to the remote service. Therefore, high reliability of the remote service dynamic optimization coordination becomes an important issue for advanced intelligent manufacturing system of modern enterprises. To this end, the paper introduces to the theory of Holon enterprise remote service configuration, the mixed genetic ant colony algorithm is used to improve the robustness of the Holon manufacturing system, solving the cross-regional enterprise between remote service configuration and scheduling problem in the process of negotiation.

Key words: Holon, manufacturing enterprises, genetic ant colony algorithm, enterprise remote service configuration, optimized dispatching