An evolutionary-based optimization algorithm for truss sizing design

Authors

  • Pham Hoang Anh National University of Civil Engineering, Hanoi

DOI:

https://doi.org/10.15625/0866-7136/7476

Keywords:

Structural optimization, evolutionary-based optimization, metaheuristics, truss structure, sizing optimization

Abstract

In this paper, the optimal sizing of truss structures is solved using a novel evolutionary-based optimization algorithm. The efficiency of the proposed method lies in the combination of global search and local search, in which the global move is applied for a set of random solutions whereas the local move is performed on the other solutions in the search population. Three truss sizing benchmark problems with discrete variables are used to examine the performance of the proposed algorithm. Objective functions of the optimization problems are minimum weights of the whole truss structures and constraints are stress in members and displacement at nodes. Here, the constraints and objective function are treated separately so that both function and constraint evaluations can be saved. The results show that the new algorithm can find optimal solution effectively and it is competitive with some recent metaheuristic algorithms in terms of number of structural analyses required.

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Author Biography

Pham Hoang Anh, National University of Civil Engineering, Hanoi

structural identification, finite element model updating, structural health monitoring, structural optimization

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Published

20-12-2016

How to Cite

Anh, P. H. (2016). An evolutionary-based optimization algorithm for truss sizing design. Vietnam Journal of Mechanics, 38(4), 307–317. https://doi.org/10.15625/0866-7136/7476

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Section

Articles