MASDScheGATS: a prototype system for dynamic scheduling

  • Authors:

  • Ana Madureira;Joaquim Santos;Ivo Pereira

  • Affiliations:

  • Computer Science Department, Institute of Engineering, Polytechnic of Porto, Knowledge Engineering and Decision Support Research Group, Porto, Portugal;Computer Science Department, Institute of Engineering, Polytechnic of Porto, Knowledge Engineering and Decision Support Research Group, Porto, Portugal;Computer Science Department, Institute of Engineering, Polytechnic of Porto, Knowledge Engineering and Decision Support Research Group, Porto, Portugal

  • Venue:
  • CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
  • Year:
  • 2007

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Abstract

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).