Machine learning and inverse optimization for estimation of weighting factors in multi-objective production scheduling problems

HIGHLIGHTS

• who: Hidetoshi Togo and colleagues from the Graduate School of Natural Science and Technology, Okayama University, Tsushima-naka, Kita-ku, Okayama City, Okayama, Japan have published the research: Machine Learning and Inverse Optimization for Estimation of Weighting Factors in Multi-Objective Production Scheduling Problems, in the Journal: (JOURNAL)
• what: The authors propose a machine learning-based method and an inverse optimization-based method using the input/output data of the when the weighting factors of the objective function are unknown. In the machine_learning method, the authors attempt to extract effective features to improve the estimation . . .
  

   

  

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