PhD. student, Faculty of Engineering, Kharazmi University, Tehran, Iran
Abstract
Space frame structures are made up of a large number of members and nodes that transfer the incoming loads by the internal axial forces. Given that these structures are often used on a large scale; their accurate evaluation is important to achieve the optimal design. In construction projects, saving time and money is one of the basic necessities of project management. So, improving each of these two components increases project efficiency. Today, the use of space structures has become more popular due to time savings. In this paper, we have tried to improve this algorithm. Algorithm improvement is created by adding a crossover operation between the new solution and the best solution in the teacher phase. This work always causes a sudden movement and escape from the local minima for the algorithm. Improved algorithm results show that convergence speed and optimal response quality have improved. the results show the new method decreases the construction cost by more than 13 percent in the case study.
salehi, A. (2023). Improved TLBO in sizing optimization of space frame structures using metaheuristic algorithm. Construction science and technology, 4(2), 45-51.
MLA
alireza salehi. "Improved TLBO in sizing optimization of space frame structures using metaheuristic algorithm", Construction science and technology, 4, 2, 2023, 45-51.
HARVARD
salehi, A. (2023). 'Improved TLBO in sizing optimization of space frame structures using metaheuristic algorithm', Construction science and technology, 4(2), pp. 45-51.
VANCOUVER
salehi, A. Improved TLBO in sizing optimization of space frame structures using metaheuristic algorithm. Construction science and technology, 2023; 4(2): 45-51.
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