Discrete size optimization of steel trusses using a refined big bang-big crunch algorithm

Hasançebi O., Azad S. K.

ENGINEERING OPTIMIZATION, vol.46, no.1, pp.61-83, 2014 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 46 Issue: 1
  • Publication Date: 2014
  • Doi Number: 10.1080/0305215x.2012.748047
  • Journal Name: ENGINEERING OPTIMIZATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.61-83
  • Keywords: structural optimization, discrete optimization, metaheuristic search techniques, big bang-big crunch algorithm, steel trusses, OPTIMUM DESIGN, STRUCTURAL OPTIMIZATION, OPTIMALITY CRITERIA, PERFORMANCE
  • Middle East Technical University Affiliated: Yes

Abstract

This article presents a methodology that provides a method for design optimization of steel truss structures based on a refined big bang-big crunch (BB-BC) algorithm. It is shown that a standard formulation of the BB-BC algorithm occasionally falls short of producing acceptable solutions to problems from discrete size optimum design of steel trusses. A reformulation of the algorithm is proposed and implemented for design optimization of various discrete truss structures according to American Institute of Steel Construction Allowable Stress Design (AISC-ASD) specifications. Furthermore, the performance of the proposed BB-BC algorithm is compared to its standard version as well as other well-known metaheuristic techniques. The numerical results confirm the efficiency of the proposed algorithm in practical design optimization of truss structures.