A multi-agent approach for the capacity allocation problem

被引:39
|
作者
Brandolese, A [1 ]
Brun, A [1 ]
Portioli-Staudacher, A [1 ]
机构
[1] Politecn Milan, Dipartimento Econ & Prod, I-20133 Milan, Italy
关键词
capacity allocation; multi-agent systems; distributed systems; negotiation;
D O I
10.1016/S0925-5273(00)00004-9
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a new approach for the problem of allocating production capacity to multiple requirements, based on the Multi-Agents paradigm. The proposed system is a distributed, decentralised system that presents many advantages over the traditional centralised algorithms. Among the others it is more flexible, more reactive, and easily understandable. Moreover, a prototype of personal digital assistant is described. Such an assistant is able to support distributed decision-making in companies where several product lines compete for the same resources, in a contest of swiftly changing and scarcely foreseeable demand. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:269 / 285
页数:17
相关论文
共 50 条
  • [1] EVACUATION SIMULATION WITH LIMITED CAPACITY SINKS An Evolutionary Approach to Solve the Shelter Allocation and Capacity Assignment Problem in a Multi-agent Evacuation Simulation
    Flotterod, Gunnar
    Laemmel, Gregor
    ICEC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION, 2010, : 249 - 254
  • [2] An Optima Allocation Method for Multi-Agent Joint Capacity of Microgrid
    Lou, Boliang
    Huang, Hongyang
    Ma, Junchao
    Zhou, Dan
    Peng, Yan
    PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 1220 - 1225
  • [3] A Multi-Agent Distributed Channel Allocation Approach for Wireless Networks
    Pendharkar, Parag C.
    2006 IEEE 64TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, 2006, : 1103 - 1106
  • [4] A multi-agent memetic algorithm approach for distributed object allocation
    Pendharkar, Parag C.
    JOURNAL OF COMPUTATIONAL SCIENCE, 2011, 2 (04) : 353 - 364
  • [5] Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets
    Daoud, Alaa
    PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 4879 - 4880
  • [6] Multi-agent Approach to Computational Resource Allocation in Edge Computing
    Kovtunenko, Alexey
    Timirov, Marat
    Bilyalov, Azat
    INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2019, RUSMART 2019, 2019, 11660 : 135 - 146
  • [7] A Multi-Agent Reinforcement Learning Approach for Stock Portfolio Allocation
    Koratamaddi, Prahlad
    Wadhwani, Karan
    Gupta, Mridul
    Sanjeevi, Sriram G.
    CODS-COMAD 2021: PROCEEDINGS OF THE 3RD ACM INDIA JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA (8TH ACM IKDD CODS & 26TH COMAD), 2021, : 410 - 410
  • [8] A Multi-Agent Learning Approach to Online Distributed Resource Allocation
    Zhang, Chongjie
    Lesser, Victor
    Shenoy, Prashant
    21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, : 361 - 366
  • [9] A Multi-Agent Approach for Solving Traveling Salesman Problem
    ZHOU Tiejun~ 1
    2. Department of Information and Computer Science
    3. School of Management
    Wuhan University Journal of Natural Sciences, 2006, (05) : 1104 - 1108
  • [10] The genicAgent: a hybrid approach for multi-agent problem solving
    Saci, EA
    Cherruault, Y
    KYBERNETES, 2001, 30 (1-2) : 26 - 34