• DocumentCode
    3230837
  • Title

    Collective intelligence on dynamic manufacturing scheduling optimization

  • Author

    Madureira, Ana ; Pereira, Ivo ; Sousa, Nelson

  • Author_Institution
    GECAD - Knowledge Eng. & Decision Support Group, Polytech. of Porto, Porto, Portugal
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1693
  • Lastpage
    1697
  • Abstract
    Swarm Intelligence (SI) is a growing research field of Artificial Intelligence (AI). SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviours of insects and of other animals. This paper presents hybridization and combination of different AI approaches, like Bio-Inspired Techniques (BIT), Multi-Agent systems (MAS) and Machine Learning Techniques (ML T). The resulting system is applied to the problem of jobs scheduling to machines on dynamic manufacturing environments.
  • Keywords
    dynamic scheduling; job shop scheduling; learning (artificial intelligence); manufacturing systems; multi-agent systems; optimisation; artificial intelligence; bioinspired techniques; collective intelligence; dynamic manufacturing scheduling optimization; jobs scheduling; machine learning techniques; multiagent systems; swarm intelligence; Variable speed drives; Learning in Multi-Agent Systems; Scheduling Optimization; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645248
  • Filename
    5645248