WEIGHT MINIMIZATION OF TRUSS STRUCTURES WITH SIZING AND LAYOUT VARIABLES USING INTEGRATED PARTICLE SWARM OPTIMIZER
Makaleler > Tam Makale · 2017
Yazarlar: Ali MORTAZAVİ, VEDAT TOĞAN, Ayhan NUHOĞLU
Journal of Civil Engineering and Management, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2017, cilt 23, ss 985-1001
DOI: 10.3846/13923730.2017.1348982
Özet
This study investigates the performances of the integrated particle swarm optimizer (iPSO) algorithm in the layout and sizing optimization of truss structures. The iPSO enhances the standard PSO algorithm employing both the concept of weighted particle and the improved fly-back method to handle optimization constraints. The performance of the recent algorithm is tested on a series of well-known truss structures weight minimization problems including mixed design search spaces (i.e. with both discrete and continuous variables) over various types of constraints (i.e. nodal displacements, element stresses and buckling criterion). The results demonstrate the validity of the proposed approach in dealing with combined layout and size optimization problems.