Login / Signup

Supervised-learning-based approximation method for multi-server queueing networks under different service disciplines with correlated interarrival and service times.

Siamak KhayyatiBaris Tan
Published in: Int. J. Prod. Res. (2022)
Keyphrases
  • queueing networks
  • probabilistic model
  • supervised learning
  • machine learning
  • learning algorithm
  • training data
  • search algorithm
  • computational complexity
  • scheduling problem
  • parameter estimation