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A mixed framework to support heterogeneous collection asset scheduling.

Jean BergerMoufid HarbIbrahim Y. AbualhaolAlexander TeskeRami S. AbielmonaEmil M. Petriu
Published in: GECCO (Companion) (2019)
Keyphrases
  • main contribution
  • theoretical framework
  • data sets
  • learning algorithm
  • end users
  • core components
  • information systems
  • scheduling problem
  • peer to peer
  • load balancing
  • scheduling algorithm
  • conceptual framework