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OPTIMIZATION OF TRUSS USING GENETIC ALGORITHM
Maksym GRZYWIŃSKI 1
 
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Politechnika Częstochowska, Wydział Budownictwa
Publication date: 2019-04-16
 
BoZPE 2018;(2):111–116
DOI: https://doi.org/10.17512/bozpe.2018.2.14
 
 
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KEYWORDS
genetic algorithm
size optimization
discrete variables
mass minimum
CO2 emissions
 
TOPICS
Energy-efficient construction
Construction and engineering constructions
Engineering of construction projects
 
ABSTRACT
The article proposes a genetic algorithm for solving the problem of minimizing the mass of a plane truss, taking into account the variability of the cross-sectional area. The minimum mass of the steel structure is also low CO2 emission. The design is optimized using an efficient algorithm called Teaching Learning Based Optimization. The TLBO process is divided into two parts: the first consists of the “teacher phase” and the second consists of the “student phase”. The calculations are performed with the help of the finite element method program coded in MATLAB.
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eISSN:2544-963X
ISSN:2299-8535
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