An artificial-immune-system-based algorithm enhanced with deep reinforcement learning for solving returnable transport item problems

HIGHLIGHTS

• who: Fatima Ezzahra Achamrah et al. from the Laboratoire Genie Industriel, CentraleSupelec, Paris Saclay University, Rue Joliot-Curie have published the research work: An Artificial-Immune-System-Based Algorithm Enhanced with Deep Reinforcement Learning for Solving Returnable Transport Item Problems, in the Journal: Sustainability 2022, 14, 5805. of 11/05/2022
• what: The authors develop a new mathematical formulation of the RTI pickup and delivery problem in a closed-loop supply chain consisting of a set of suppliers shipping their products to a set of common customers (e_g, plants, retailers) and using a set of . . .
  

   

  

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