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Performance analysis of MILP based model predictive control algorithms for dynamic railway scheduling.

János RudanBart KersbergenTon J. J. van den BoomKatalin M. Hangos
Published in: ECC (2013)
Keyphrases
  • benchmark datasets
  • model predictive control
  • neural network
  • learning algorithm
  • real time
  • artificial intelligence
  • decision trees
  • dynamic environments
  • machine learning algorithms
  • evolutionary computation