Contents lists available at growingscience to reduce by production: model combining reinforcement learning and insights astate

HIGHLIGHTS

• who: surface from the Northeastern University, Shenyang, PRChina have published the paper: Contents lists available at GrowingScience To reduce by Production: model combining reinforcement learning and insights aState, in the Journal: (JOURNAL) of August/Oct/2022
• what: The authors design an innovative reinforcement learning algorithm (QL-seru algorithm) by combining the features of the meta-heuristic algorithm and the reinforcement learning algorithm to solve the seru scheduling problem. The authors design the GA and QL-seru algorithm in detail. For the comparison algorithm (Sun et_al ), the authors compare the results at the same running time . . .
  

   

  

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