Multi-agent dynamic scheduling and re-scheduling with global temporal constraints

被引:0
|
作者
Reis, J [1 ]
Mamede, N [1 ]
机构
[1] ISCTE, Dpt Ciencias & Tecnol Informacao, P-1600 Lisbon, Portugal
关键词
scheduling; multi-agent systems; supply-chain management;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A co-ordination mechanism is proposed for multi-agent production-distribution co-operative scheduling problems, based on a purely temporal perspective. This mechanism is based on communication among pairs of client-supplier agents involved in the problem, and allows agents to locally perceive hard global temporal constraints. By exchanging limited specific information, the agents are able to recognise non over-constrained problems and, in that Case, rule out non temporally-feasible solutions and establish an initial solution, The, information is then used to guide re-scheduling and repair the initial solution and converge to a final one.
引用
收藏
页码:117 / 123
页数:7
相关论文
共 50 条
  • [1] Investigating the robustness of re-scheduling policies with multi-agent system simulation
    Merdan, Munir
    Moser, Thomas
    Vrba, Pavel
    Biffl, Stefan
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 55 (1-4): : 355 - 367
  • [2] Investigating the robustness of re-scheduling policies with multi-agent system simulation
    Munir Merdan
    Thomas Moser
    Pavel Vrba
    Stefan Biffl
    [J]. The International Journal of Advanced Manufacturing Technology, 2011, 55 : 355 - 367
  • [3] Locally perceiving hard global constraints in multi-agent scheduling
    Joaquim Reis
    Nuno Mamede
    Henrique O'Neill
    [J]. Journal of Intelligent Manufacturing, 2001, 12 : 223 - 236
  • [4] Locally perceiving hard global constraints in multi-agent scheduling
    Reis, J
    Mamede, N
    O'Neill, H
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2001, 12 (02) : 223 - 236
  • [5] SCHEDULING AND RE-SCHEDULING OF DRUGS
    SACKS, BA
    [J]. SOUTH AFRICAN MEDICAL JOURNAL, 1976, 50 (05): : 123 - 123
  • [6] Multi-agent system for dynamic scheduling
    Firme, Bernardo
    Lopes, Guilherme
    Martins, Miguel S. E.
    Coito, Tiago
    Viegas, Joaquim
    Sousa, Joao M. C.
    Reis, Joao C. P.
    Figueiredo, Joao
    Vieira, Susana
    [J]. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [7] Dynamic flexible scheduling with transportation constraints by multi-agent reinforcement learning
    Zhang, Lixiang
    Yan, Yan
    Hu, Yaoguang
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 134
  • [8] Multi-agent Scheduling Optimization in Dynamic Environments under Energy Constraints
    Hartuv, Erez
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18), 2018, : 1743 - 1745
  • [9] MAGENTA MULTI-AGENT SYSTEMS FOR DYNAMIC SCHEDULING
    Andreev, Vyacheslav
    Glashchenko, Andrey
    Ivashchenko, Anton
    Inozemtsev, Sergey
    Rzevski, George
    Skobelev, Petr
    Shveykin, Petr
    [J]. ICAART 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, 2009, : 489 - +
  • [10] Dynamic re-scheduling of trains after disruption
    Goodman, CJ
    Takagi, R
    [J]. COMPUTERS IN RAILWAY SIX, 2004, 15 : 765 - 774