Research on an Approach of the Distributed Jobshop Scheduling Basing on Multi-agent

被引:0
|
作者
Zhou, Qinghua [1 ]
Zhang, Yuxian [1 ]
Yang, Ping [1 ]
机构
[1] Guilin Univ Elect Technol, Sch Management, Guilin, Peoples R China
来源
IEEE/SOLI'2008: PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS, VOLS 1 AND 2 | 2008年
关键词
distributed scheduling system; multi-agent; genetic algorithm; negotiation mechanism;
D O I
10.1109/SOLI.2008.4683043
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Based on the intelligent and agilie characteristics of a multi-Agents system and the optimizatical capacity of genetic algorithm, a distributed jobshop scheduling method is presented. A multi-Agents based model of distributed scheduling system is established, then a distributed scheduling mechanism integrating multi-Agents and GA and dynamic scheduling strategies based on multi-Agent negotiation are proposed. Finally, a simulation experiment on solving the distributed dynamic scheduling with the methods is given. Simulation results show that the presented scheduling strategy is feasible and effective.
引用
收藏
页码:2969 / 2972
页数:4
相关论文
共 50 条
  • [31] A LEARNING AGENT FOR A MULTI-AGENT SYSTEM FOR PROJECT SCHEDULING IN CONSTRUCTION
    Wenzler, Florian
    Guenthner, Willibald A.
    PROCEEDINGS - 30TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2016, 2016, : 11 - 17
  • [32] Research on a Multi-Agent Cooperative Control Method of a Distributed Energy Storage System
    Shi, Tao
    Qiu, Xuan
    Tang, Chunsheng
    Qu, Linan
    PROCESSES, 2023, 11 (04)
  • [33] A multi-agent approach to monitor and manage container-based distributed systems
    Pfeifer, V
    Passini, W. E.
    Dorante, W. F.
    Guilherme, I. R.
    Affonso, F. J.
    IEEE LATIN AMERICA TRANSACTIONS, 2022, 20 (01) : 82 - 91
  • [34] Negotiation Scheduling Algorithm for Multi-agent Job Shop with Private Information
    Sun S.
    Zhou X.
    Chang S.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2022, 58 (09): : 210 - 217
  • [35] Research on Multi-Agent Container Terminal Logistics Operation Scheduling System Based on TOC
    Ma Hanwu
    Li Yan
    2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 3, 2010, : 213 - 216
  • [36] The research on the decision multi-agent for WebGIS
    Li, Guangru
    Hu, Jingfeng
    Li, Yuanhui
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1380 - 1384
  • [37] A MULTI-AGENT BROKERING APPROACH AND JUMPER FIREFLY ALGORITHM FOR JOB SCHEDULING IN CLOUD COMPUTING
    Nithya, G.
    Jayapratha, G.
    2014 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING APPLICATIONS (ICICA 2014), 2014, : 52 - 58
  • [38] On the open job-shop scheduling problem: a decentralized multi-agent approach for the manufacturing system performance optimization
    Guizzi, Guido
    Revetria, Roberto
    Vanacore, Gianluigi
    Vespoli, Silvestro
    12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2019, 79 : 192 - 197
  • [39] Dynamic scheduling for multi-site companies: a decisional approach based on reinforcement multi-agent learning
    Aissani, N.
    Bekrar, A.
    Trentesaux, D.
    Beldjilali, B.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2012, 23 (06) : 2513 - 2529
  • [40] Multi-Agent Scheduling System in Cloud Manufacturing Environment
    Bi, Xiaoxue
    Yu, Dong
    Liu, Jinsong
    Hu, Yi
    2020 10TH INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2020), 2020, : 374 - 378