Design optimization of truss structures with continuous and discrete variables by hybrid of biogeography‐based optimization and differential evolution methods

Shahin Jalili Dargalusani* (Corresponding Author), Yousef Hosseinzadeh

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper presents a hybrid BBO‐DE algorithm by hybridizing biogeography‐based optimization (BBO) and differential evolution (DE) methods for optimum design of truss structures with continuous and discrete variables. In BBO‐DE, the migration operator of BBO method serves as a local exploiter mechanism during the search process. Besides, DE has a role of the global exploration by performing multiple search directions in the search space to preserve more diversity in the population. By embedding of DE algorithm in BBO method as a mutation mechanism, the balance between the exploration and exploitation abilities is further improved. The comparative results with some of the most recently developed methods demonstrate the fast convergence properties of the proposed algorithm and confirm its effectiveness to solve optimum design problems of truss structures with continuous and discrete variables.
Original languageEnglish
Article numbere1495
Number of pages26
JournalThe Structural Design of Tall and Special Buildings
Volume27
Issue number14
Early online date24 May 2018
DOIs
Publication statusPublished - 10 Oct 2018

Keywords

  • biogeography‐based optimization
  • continuous
  • differential evolution
  • discrete
  • optimum design
  • truss structures

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