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Weight Minimization of Spatial Trusses with Genetic Algorithm Cover

Weight Minimization of Spatial Trusses with Genetic Algorithm

Open Access
|Oct 2019

Abstract

A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The effectiveness of JA algorithm is demonstrated through benchmark spatial truss 39-bar, and compare with results in references.

Language: English
Page range: 238 - 243
Submitted on: Mar 25, 2019
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Accepted on: May 4, 2019
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Published on: Oct 8, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Maksym Grzywiński, Jacek Selejdak, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.