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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