Hybrid genetic algorithm-based optimisation of the batch order picking in a dense mobile rack warehouse

HIGHLIGHTS

• who: Jianglong Yang and collaborators from the School of Management Engineering, Capital of Economics and Business, Beijing, China have published the research work: Hybrid genetic algorithm-based optimisation of the batch order picking in a dense mobile rack warehouse, in the Journal: PLOS ONE of November/27,/2020
• what: For this model a is designed and the characteristics of the different examples and solution algorithms are further analysed to provide a reference for the solution of the order picking problem in a dense mobile rack warehouse. The research on the order picking problem of an . . .
  

   

  

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