DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Mechanical and Civil Engineering (IJAMCE)-IJAMCE |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-4 ( Aug, 2019 ) | |||||||||
Paper Title |
Truss Optimization using Genetic Algorithm | |||||||||
Author Name |
Maksym Grzywinski, Jacek Selejdak | |||||||||
Affilition |
Faculty of Civil Engineering, Czestochowa University of Technology, Poland | |||||||||
Pages |
21-23 | |||||||||
Abstract |
In this paper, a genetic algorithm is proposed to solve the weight minimization problem of truss structures considering shape, and sizing design variables. Design variables are discrete or/and continuous. The design of truss structures is optimized by an efficient optimization algorithm called Teaching-Learning-Based Optimization (TLBO). The process of TLBO is divided into two parts: the first part consists of the „Teacher phase‟ and the second part consists of the „Learner phase‟. Analyses of structures are performed by a finite element code in MATLAB which is used in conjunction with an optimization code based on TLBO. The effectiveness of TLBO algorithm is demonstrated through benchmark truss 18-bar, and compare with results in references. Keywords–Planar Truss, Size And Shape Optimization, Discrete And Continuous Variables, TLBO Algorithm. | |||||||||
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