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Advisor(s)
Abstract(s)
A manufacturing system has a natural dynamic nature observed through several kinds of random occurrences and
perturbations on working conditions and requirements over time. For this kind of environment it is important the
ability to efficient and effectively adapt, on a continuous basis, existing schedules according to the referred
disturbances, keeping performance levels. The application of Meta-Heuristics and Multi-Agent Systems to the
resolution of this class of real world scheduling problems seems really promising.
This paper presents a prototype for MASDScheGATS (Multi-Agent System for Distributed Manufacturing
Scheduling with Genetic Algorithms and Tabu Search).
Description
Keywords
Scheduling