September 2022 10.3389/fenrg.2022.988772

HIGHLIGHTS

• who: . et al. from the National Institute of Advanced Industrial Science and Technology (AIST), Japan Central South University, China have published the article: September 2022 10.3389/fenrg.2022.988772, in the Journal: (JOURNAL)
• what: Inspired by the above existing works, the authors develop a coarseto-fine evolutionary search to handle exponentially growing search spaces of LSMOPs. The authors design a coarse-to-fine evolutionary search to handle large-scale multi-objective optimization problems, which are common in various fileds, such as condition monitoring for renewable energy systems, and cloud workflow scheduling.
• future . . .
  

   

  

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