Enhanced biogeography-based optimization: A new method for size and shape optimization of truss structures with natural frequency constraints

Seyed Heja Seyed Taheri, Shahin Jalili Dargalusani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
2 Downloads (Pure)

Abstract

The current study presents an enhanced biogeography-based optimization (EBBO) algorithm for size and shape optimization of truss structures with natural frequency constraints. The BBO algorithm is one of the recently developed meta-heuristic algorithms inspired by the mathematical models in biogeography science and is based on the migration behavior of species among the habitats in the nature. In this study, the overall performance of the standard BBO algorithm is enhanced by new migration and mutation operators. The efficiency of the proposed algorithm is demonstrated by utilizing four benchmark truss design examples with frequency constraints. Numerical results show that the proposed EBBO algorithm not only significantly improves the performance of the standard BBO algorithm, but also finds competitive results compared with recently developed optimization methods.
Original languageEnglish
Pages (from-to)1406-1430
Number of pages25
JournalLatin American Journal of Solids and Structures
Volume13
Issue number7
Early online date23 Mar 2016
DOIs
Publication statusPublished - 2 May 2016

Keywords

  • Biogeography-based optimization
  • meta-heuristic
  • truss structures
  • dynamic constraints
  • size and shape optimization

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