Application of Teaching–learning-based optimization for design of composite floor system
Keywords:
Teaching learning based optimization, Design of composite floor system, Optimum designAbstract
Composite floors are widely used in building structures due to their economy, but an economical design of composite floors is rather difficult and complicated. Therefore, this research presents the application of Teaching–Learning-Based Optimization (TLBO) to design the optimum of composite floor system according Load and Resistance Factor Design method (LRFD) by AISC standard. This design algorithm is developed using Visual basic language to determine the lowest total cost of structures. The efficiency of the TLBO for search the optimal solution is tested by three composite floor examples from the literature. The test results show that the TLBO answer converges quickly to the optimal solution with fewer function evaluations compared to other algorithms and the TLBO found the optimal solution better than the compared research in the range of 0.61–14.9%
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