• 论文 •    

基于多Agent的敏捷生产调度中的协商策略

吕赐兴,朱云龙,尹朝万,于海斌   

  1. 1.中国科学院 沈阳自动化研究所,辽宁  沈阳  110016;2.中国科学院 研究生院,北京  100039
  • 收稿日期:2005-02-22 修回日期:2005-03-10 出版日期:2006-04-15 发布日期:2006-04-25
  • 基金资助:
    国家重点基础研究规划资助项目(2002CB312204-03);国家自然科学基金资助项目(70431003)。

Negotiation policy for multi-Agent based agile production scheduling

LV Ci-xing,ZHU Yun-long,YIN Chao-wan,YU Hai-bin   

  1. 1.Shenyang Inst. of Automation, Chinese Academy of Sciences, Shenyang  110016, China;2.Graduate Sch. of the Chinese Academy of Sciences, Beijing  100039, China
  • Received:2005-02-22 Revised:2005-03-10 Online:2006-04-15 Published:2006-04-25
  • Supported by:
    Project supported by the National Basic Research Program,China(No.112002CB32204-03)and the National Natural Science Foundation,China(No.7043003).

摘要: 为了解决基于多智能体的敏捷生产调度中资源分配的协商策略问题,提出了实现组合拍卖的协商策略的解决方法。在描述资源分配问题的基础上,基于组合拍卖解法,利用对偶理论与组合拍卖设计之间的联系,给出了组合拍卖的设计和拍卖的过程。根据设计结果和拍卖过程,采用分布规则,描述和构建实现组合拍卖的协商策略,并存储在相关智能体的规则库内。运行时,通过这些策略使资源分配问题以组合拍卖的方式得到了解决,同时对协商策略的计算复杂性和通信瓶颈进行了分析。计算实验表明,提出的协商策略是可行和有效的。

关键词: 生产调度, 分布规则, 协商策略, 组合拍卖, 多智能体

Abstract: To solve the problem of resource allocation in the multi-Agent-based agile production scheduling, combinatorial auction based negotiation policy was proposed. With the description of the resource allocation problem, the design and the process of the combinatorial auction were provided based on combinatorial auction solution by utilizing the relationship between dual theory and combinatorial auction. With reference to the design result and auction process, the negotiation policy to realize the combinatorial auction was depicted and constructed by adoption of distributed rules, which would be saved in the rule base of corresponding Agents. The resource allocation problem was solved by the combinatorial auction in the distributed manner. Furthermore, the computational complexity and communication bottleneck of the negotiation policy were analyzed. Computational experiments suggested that the policy was feasible and effective.

Key words: production scheduling, distributed rule, negotiation policy, combinatorial auction, multi-Agent

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