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Sizing and Topology Optimization of Trusses Using Genetic Algorithm.

Authors
  • Delyová, Ingrid1
  • Frankovský, Peter1
  • Bocko, Jozef1
  • Trebuňa, Peter2
  • Živčák, Jozef3
  • Schürger, Barbara1
  • Janigová, Sára1
  • 1 Department of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia. , (Slovakia)
  • 2 Institute of Management, Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00 Košice, Slovakia. , (Slovakia)
  • 3 Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00 Košice, Slovakia. , (Slovakia)
Type
Published Article
Journal
Materials
Publisher
MDPI AG
Publication Date
Feb 03, 2021
Volume
14
Issue
4
Identifiers
DOI: 10.3390/ma14040715
PMID: 33546410
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Genetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the procedure of optimization uses them for optimization. Here, for the structural engineer, it is crucial to find the form of objective function including the constraints of the task and also to avoid critical states during the solution of structural responses. This paper presents the use of genetic algorithm for solving truss structures. The use of genetic algorithm approach is shown on three cases of truss structures.

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