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


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Mortazavi A., TOĞAN V. , NUHOĞLU A.

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, vol.23, no.8, pp.985-1001, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 8
  • Publication Date: 2017
  • Doi Number: 10.3846/13923730.2017.1348982
  • Title of Journal : JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
  • Page Numbers: pp.985-1001
  • Keywords: particle swarm optimizer, combined sizing/layout optimization, trusses, structural optimization, DESIGN OPTIMIZATION, GENETIC ALGORITHM, OPTIMUM DESIGN, TOPOLOGY OPTIMIZATION, SHAPE, DISCRETE, GEOMETRY, SIZE

Abstract

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.