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A collaborative optimization framework for parametric and parameter-free variables

  • Release Time:2025-04-30
  • Hits:
  • Date: 

    2025-04-30
  • Title of Paper: 

    A collaborative optimization framework for parametric and parameter-free variables
  • Journal: 

    Engineering Computations
  • Summary: 

    Findings – The decoupling treatment suggested in the ICO framework not only avoids the iteration divergence and thus optimization failure, but increases the optimal design space to some extent. The method is validated by optimizing an aircraft assembly and a high-speed train assembly.
  • Co-author: 

    W. Li, Y. Wen and L. X. Li*
  • Translation or Not: 

    No
  • Date of Publication: 

    2015-04-01