Self-managing agents for dynamic scheduling in manufacturing

  • Authors:
  • Ana Madureira;Filipe Santos;Ivo Pereira

  • Affiliations:
  • Isep, Porto, Portugal;Isep, Porto, Portugal;Isep, Porto, Portugal

  • Venue:
  • Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2008

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Abstract

The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with self-managing capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference.