Upper Bound Strategy in Optimum Design of Truss Structures: A Big Bang-Big Crunch Algorithm Based Application. Issue 6 (June 2013)

• Record Type: Journal Article
• Authors: Azad, S. Kazemzadeh; Hasançebi, O.; Azad, S. Kazemzadeh; Erol, O.K.
• Is Part Of: Advances in structural engineering. Volume 16:Issue 6(2013)
• Page Start: 1035
• Page End: 1046
• Publication Date: 2013-06
• Subjects: structural design optimization -- metaheuristic search techniques -- big bang-big crunch algorithm -- upper bound strategy -- truss structures; Structural engineering -- Periodicals; Construction, Technique de la; Structural engineering; Periodicals; 624.1
• DOI: 10.1260/1369-4332.16.6.1035
• Languages: English
• ISSNs: 1369-4332

Abstract

One main shortcoming of metaheuristic search techniques in structural optimization is the large number of time-consuming structural analyses required for convergence to a reasonable solution. This study is an attempt to apply the so-called upper bound strategy (UBS) as a simple, yet an efficient strategy to reduce the total number of structural analyses through avoiding unnecessary analyses during the course of optimization. Although, the usefulness of the UBS is demonstrated in conjunction with a big bang-big crunch algorithm developed for optimum design of truss structures, it can be integrated with any other metaheuristic technique which works on the basis of (μ+Λ) evolutionary model. The numerical investigations over three benchmark truss optimization instances reveal that the UBS can reduce the total number of required structural analyses of the standard BB-BC algorithm to a great extent.