Learning by Objectives for Adaptive Shop-Floor Scheduling

@inproceedings{Bhattacharyya1998LearningBO,
  title={Learning by Objectives for Adaptive Shop-Floor Scheduling},
  author={Siddhartha Bhattacharyya},
  year={1998}
}
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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