Learning by Objectives for Adaptive Shop-Floor Scheduling

  title={Learning by Objectives for Adaptive Shop-Floor Scheduling},
  author={Siddhartha Bhattacharyya},
Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decision-making. A highlevel knowledge representation for modeling production environments is developed, with facilities for genetic learning within this scheme. A multiagent framework is used, with individual agents being responsible for the… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 52 references

A Decision Support Framework for Dynamic Scheduling

  • H. Aytug, S. Bhattacharyya, G. J. Koehler, J. L. Snowdon
  • Technical report.
  • 1994
1 Excerpt

GAs and Production Scheduling

  • V. Parunak, B. Fulkerson
  • Note in comp.ai.genetic, March, 1994.
  • 1994
2 Excerpts

Learning Distributive Reactive Strategies by Genetic programming for the General Job Shop Problem

  • Altan, L. J. Bonnet, M. Naillon
  • Proceedings of the Seventh Annual Florida…
  • 1993

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