A Multi-Agent App oach to Suppo t Dynamic Scheduling Decisions

  • Authors:
  • Andrea Gozzi;Massimo Paolucci;Antonio Boccalatte

  • Affiliations:
  • -;-;-

  • Venue:
  • ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
  • Year:
  • 2002

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Abstract

This work concerns the use of multi-agent system models as a paradigm to support dynamic scheduling decisions. A dynamic class of scheduling problems has been considered, and a just-in-time manufacturing production has been assumed. In particular, the problem ofscheduling independent jobs on identical parallel machines, tooptimise a non-regular objective, including both job earliness andtardiness penalties, has been faced. Different classes of agents compose the multi-agent scheduling system, and a schedule is progressively defined by a negotiation protocol among the agents associated with the jobs and the machines.