A Distributed Optimized Patient Scheduling using Partial Information

@article{Mageshwari2012ADO,
  title={A Distributed Optimized Patient Scheduling using Partial Information},
  author={G. Mageshwari and E. Grace Mary Kanaga},
  journal={ArXiv},
  year={2012},
  volume={abs/1206.1678}
}
  • G. Mageshwari, E. Grace Mary Kanaga
  • Published 2012
  • Computer Science
  • ArXiv
  • A software agent may be a member of a Multi-Agent System (MAS) which is collectively performing a range of complex and intelligent tasks. In the hospital, scheduling decisions are finding difficult to schedule because of the dynamic changes and distribution. In order to face this problem with dynamic changes in the hospital, a new method, Distributed Optimized Patient Scheduling with Grouping (DOPSG) has been proposed. The goal of this method is that there is no necessity for knowing patient… CONTINUE READING

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