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A multi-agent approach to support dynamic scheduling decisions

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3 Author(s)
A. Gozzi ; Dept. of Commun., Comput. & Syst. Sci., Univ. of Genoa, Genova, Italy ; M. Paolucci ; A. Boccalatte

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 of scheduling independent jobs on identical parallel machines, to optimise a non-regular objective, including both job earliness and tardiness 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.

Published in:

Computers and Communications, 2002. Proceedings. ISCC 2002. Seventh International Symposium on

Date of Conference:

2002