Optimal design of truss structures using a hybrid method based on particle swarm optimizer and cultural algorithm

Structures ◽  
2021 ◽  
Vol 32 ◽  
pp. 391-405
Author(s):  
Malihe Jafari ◽  
Eysa Salajegheh ◽  
Javad Salajegheh
Keyword(s):  
Optimal Design ◽  
Hybrid Method ◽  
Particle Swarm ◽  
Truss Structures ◽  
Cultural Algorithm ◽  
Particle Swarm Optimizer

scholarly journals A Cultural Algorithm for Optimal Design of Truss Structures

2015 ◽  
Vol 12 (9) ◽  
pp. 1721-1747 ◽  
Author(s):  
Shahin Jalili ◽  
Yousef Hosseinzadeh
Keyword(s):  
Optimal Design ◽  
Truss Structures ◽  
Cultural Algorithm

scholarly journals WEIGHT MINIMIZATION OF TRUSS STRUCTURES WITH SIZING AND LAYOUT VARIABLES USING INTEGRATED PARTICLE SWARM OPTIMIZER

2017 ◽  
Vol 23 (8) ◽  
pp. 985-1001 ◽  
Author(s):  
Ali MORTAZAVI ◽  
Vedat TOĞAN ◽  
Ayhan NUHOĞLU
Keyword(s):  
Optimization Problems ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Truss Structures ◽  
Continuous Variables ◽  
Particle Swarm Optimizer ◽  
Search Spaces ◽  
Optimization Constraints ◽  
Weight Minimization ◽  
Ipso Algorithm

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.

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