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Developing work schedules for an inter-city transit system with multiple driver types and fleet types.

Renato E. deMattaEmmanuel Peters
Published in: Eur. J. Oper. Res. (2009)
Keyphrases
  • case study
  • multi agent systems
  • data sets
  • neural network
  • machine learning
  • genetic algorithm
  • information systems
  • decision making
  • e learning
  • public transport