Solving queueing theory problems using multi-agent systems

被引:0
|
作者
Cimler, Richard [1 ]
Ponce, Daniela [1 ]
机构
[1] Univ Hradec Kralove, Fac Informat & Management, Dept Informat Technol, Hradec Kralove 50002, Czech Republic
关键词
queueing theory; multi-agent systems;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper compares solutions of queueing theory problems using classical methods with solutions based on multi-agent systems. For this purpose a service node network is composed and simulated such that the control of the nodes is not centralized but transferred to individual nodes. The service nodes use various service completion strategies. The service completion strategies are evaluated according to costs and time needed for execution of service demands in the system. The service demands can be executed according to the current workload of the service nodes instead of preset order of service nodes. This feature of the service node network turns out to be one of advantages of the multi-agent system based solution. Adaptivity of service nodes to changes in the network, particularly changes in the frequency of arrival of service demands, is also simulated.
引用
收藏
页码:84 / 89
页数:6
相关论文
共 50 条
  • [1] Solving the rendezvous problem for multi-agent systems using contraction theory
    Russo, Giovanni
    di Bernardo, Mario
    [J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 5821 - 5826
  • [2] Situation Patterns in Multi-Agent Systems for Solving Transportation Problems
    Kozlak, Jaroslaw
    Pisarski, Sebastian
    Zabinska, Malgorzata
    [J]. ADVANCES ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS, 2012, 155 : 109 - 114
  • [3] Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms
    Bono, Guillaume
    Dibangoye, Jilles S.
    Simonin, Olivier
    Matignon, Laetitia
    Pereyron, Florian
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7804 - 7813
  • [4] Solving Multi-Agent Knapsack Problems Using Incremental Approval Voting
    Benabbou, Nawal
    Perny, Patrice
    [J]. ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 285 : 1318 - 1326
  • [5] Solving multi-agent control problems using particle swarm optimization
    Mazurowski, Maciej A.
    Zurada, Jacek M.
    [J]. 2007 IEEE SWARM INTELLIGENCE SYMPOSIUM, 2007, : 105 - +
  • [6] Solving Multi-Agent Pickup and Delivery Problems using Multiobjective Optimization
    Ana Carolina Queiroz
    Alex Vieira
    Heder Bernardino
    [J]. Journal of Intelligent & Robotic Systems, 2023, 109
  • [7] Solving Multi-Agent Pickup and Delivery Problems using Multiobjective Optimization
    Queiroz, Ana Carolina
    Vieira, Alex
    Bernardino, Heder
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2023, 109 (02)
  • [8] Domain theory verification using multi-agent systems
    Novikova, G. M.
    Azofeifa, E. J.
    [J]. XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016), 2017, 103 : 120 - 125
  • [9] On the Gradient Method for Solving Multi-Agent Systems
    Konnov I.V.
    Kashuba A.Y.
    [J]. Journal of Mathematical Sciences, 2022, 267 (4) : 487 - 493
  • [10] Problems of learning in multi-agent systems
    Lhotska, L
    Klema, J
    Stepankova, O
    [J]. INTELLIGENT SYSTEMS FOR MANUFACTURING: MULTI-AGENT SYSTEMS AND VIRTUAL ORGANIZATION, 1998, : 615 - 624