The effect of number of fireflies and number of iterations on the firefly algorithm for optimum design of reinforced concrete deep beams
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Abstract
This research presents a study on the effect of the number of fireflies and the number of iterations to firefly algorithm for the optimum design of reinforced concrete deep beams. The objective of this research is to achieve the most economical design of deep beams in accordance with the standards of EIT 1008-38 and study the effects of the number of fireflies and the number of iterations on obtaining the optimum design results each time. The optimization design process was created by Microsoft Visual Studio and was tested on three examples of deep beams, with the number of fireflies set from 100 to 500 and the number of iterations ranging from 50 to 500. The results indicated that the number of fireflies and the number of iterations directly effect to the discovery of optimal solutions by firefly algorithm. Moreover, the selection of the number of fireflies at least 400 individuals and the number of iterations at least 250 times which results in appropriate achieving an average cost, standard deviation, and t-distribution for practical application. Furthermore, the optimum design results are more economical than the compared method, with cost saving ranging from 2.79 % to 15.28 %.
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