.png){kind=icon}
Return
A bat-inspired algorithm for structural optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compstruc.2013.07.006.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Bat-inspired (BI) search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. This study intends to explore capabilities and potentials of this newly developed method in the realm of structural optimization. A novel algorithm is developed that employs basic principles of this method for structural optimization problems specifically. Performance of the proposed algorithm is measured using one benchmark as well as three practical truss structures that are sized for minimum weight subject to stress, stability and displacement constraints according to American Institute of Steel Construction-Allowable Stress Design (AISC-ASD) specification. The numerical results demonstrate efficiency of the proposed algorithm in practical structural optimization. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Structural optimization
Discrete optimization
Metaheuristic search techniques
Bat-inspired search
Steel trusses
Journal
C
IF:
4.8
Papers:
6.2K
Citations:
1.7W
Organization
Cited Papers
Determination of berberine in Rhizoma coptidis using a β-cyclodextrin-sensitized fluorescence method.png)
RSC Advances
OAAI
RSC AdvancesIF0
OAAIShareSaveShareSaveShareSaveShareSave
View more