运筹学学报(中英文) ›› 2026, Vol. 30 ›› Issue (1): 121-136.doi: 10.15960/j.cnki.issn.1007-6093.2026.01.008

• • 上一篇    

基于拍卖算法的多代理并行机生产运输协调调度

许可1,2,†, 吉兰萍3, 宫华3, 刘鹏1, 孙文娟1,2   

  1. 1. 沈阳工业大学管理学院, 辽宁沈阳 110870;
    2. 沈阳理工大学理学院, 辽宁沈阳 110159;
    3. 沈阳理工大学自动化与电气工程学院, 辽宁沈阳 110159
  • 收稿日期:2022-12-28 发布日期:2026-03-16
  • 通讯作者: 许可 E-mail:minkeer36@163.com
  • 基金资助:
    辽宁省教育厅基本科研项目 (Nos. LJKQZ2021057, LJKZ0260), 辽宁省“百千万人才工程”资助项目 (No. 2021921089)

A coordinated multi-agent production and transportation scheduling on parallel machines based on auction algorithm

XU Ke1,2,†, JI Lanping3, GONG Hua3, LIU Peng1, SUN Wenjuan1,2   

  1. 1. School of Management, Shenyang University of Technology, Shenyang 110870, Liaoning, China;
    2. School of Science, Shenyang Ligong University, Shenyang 110159, Liaoning, China;
    3. School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110159, Liaoning, China
  • Received:2022-12-28 Published:2026-03-16

摘要: 在资源共享的背景下, 为解决来自不同客户的工件对机器资源的竞争, 研究了基于多代理的并行机生产运输协调调度问题。将有各自优化目标的多个客户看作多个代理, 以最大化每个代理自身的收益为目标, 建立调度模型。将代理作为投标方、机器作为拍卖方, 设计了包含投标策略、中标决策和价格更新机制的多轮迭代拍卖算法求解模型。实验结果表明, 设计的多轮迭代拍卖算法可以有效地解决多个代理之间的冲突, 相比于遗传算法可以在更短的时间内使代理得到更高的平均收益。

关键词: 资源共享, 并行机, 生产运输协调调度, 多代理调度, 拍卖算法

Abstract: Under the background of resource sharing, in order to solve the competition between different customers' jobs for machine resources, the coordinated production and transportation scheduling problem on parallel machines based on multi-agent is studied. Multiple manufacturers put idle, similar machines on a shared platform, forming a production environment of parallel machines. Jobs from multiple customers need to be processed on machines on the shared platform. Multiple customers with their own optimization objectives are regarded as multiple agents. After the job is processed, the distribution of finished products needs to be considered because the location of machine and customers is dispersed.

Key words: resource sharing, parallel machines, production and transportation coordinated scheduling, multi-agent scheduling, auction algorithm

中图分类号: