A global neighborhood with hill-climbing algorithm for fuzzy flexible job shop scheduling problem

HIGHLIGHTS

• who: Juan Carlos Seck-Tuoh-Mora and colleagues from the Instituto Ciencias Bu00e1sicas e, Universidad Autu00f3noma del Estado Hidalgo, CarrPachuca-Tulancingo km4.5, Pachuca, Hidalgo, Mexico have published the article: A Global Neighborhood with Hill-Climbing Algorithm for Fuzzy Flexible Job Shop Scheduling Problem, in the Journal: Mathematics 2022, 10, 4233. of 30/09/2022
• what: The works presented were used to specify the number of generations and the population size, because they are recent works that show significant effectiveness in minimizing FFJSSP instances.
• how: This paper proposes new algorithm for FJSSP with . . .
  

   

  

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