Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms

HIGHLIGHTS

• who: Fernando Abreu de Souza et al. from the DepartamentoUniversidade Emil-Hilb-Weg, Wu00fcrzburg, Germany have published the article: Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms, in the Journal: (JOURNAL) of 10/01/2023
• what: The authors show the efficiency of a dynamic optimization approach to the survey of two MSSM realizations, the constrained MSSM (cMSSM) and the phenomenological MSSM (pMSSM), both displaying a large reduction of the initial MSSM free parameters, by constraining the respective parameter spaces as to provide a realistic Higgs mass. Next, in Sec IV . . .
  

   

  

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