Comparison of kriging-based methods for simulation optimization with heterogeneous noise

HIGHLIGHTS

  • who: Hamed Jalali et al. from the Research Center for Operations Management, Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat, Leuven, INRA-French National Institute for Agricultural Research, Castanet-Tolosan, France have published the article: Comparison of Kriging-based methods for simulation optimization with heterogeneous noise, in the Journal: (JOURNAL)
  • what: The authors investigate the unconstrained optimization (minimization) of the performance of system that modeled through discrete-event simulation. The authors focus on problems where is continuous and is bounded by box constraints; for reasons explained in Section 3.1, the authors discretize . . .

     

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