A hybrid topology optimization algorithm for structural design

Kong Tian Zuo, Li Ping Chen, Yun Qing Zhang, Jingzhou Yang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

A hybrid algorithm for solving structural topology optimization problems is presented. This hybrid algorithm combines the method of moving asymptotes (MMA) algorithm and the modified globally convergent version of the method of moving asymptotes (MGCMMA) algorithm in the optimization process. This hybrid algorithm preserves the advantages of both MMA and MGCMMA. The optimizer is switched from MMA to MGCMMA automatically, depending on the numerical oscillation value during the optimization. This hybrid algorithm has improved calculation efficiency and accelerated convergence when compared with the MMA or MGCMMA algorithm, which is demonstrated with three examples.

Original languageEnglish
Pages (from-to)849-866
Number of pages18
JournalEngineering Optimization
Volume37
Issue number8
DOIs
StatePublished - Dec 1 2005

Keywords

  • Hybrid algorithm
  • MGCMMA
  • MMA
  • Structural optimization
  • Topology optimization

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