The efficiency of fruit fly optimization algorithm for design of reinforced concrete deep beams
Keywords:
Fruit fly optimization algorithm, optimum design, reinforced concrete deep beamAbstract
This research presents the performance of the fruit fly optimization algorithm for designing reinforced concrete deep beams. The objective of this research is to design the most economical deep beams. The fruit fly optimization algorithm was generated using Microsoft Visual Studio and tested using three deep-beam samples. The number of fruit flies was set between 100 and 500 and the number of iterations ranged from 50 to 500. The experimental results showed that the number of fruit flies and the number of iterations directly affected the ability of the algorithm to find optimal solutions. Moreover, selecting at least 400 fruit flies and at least 350 iterations resulted in a better average cost and standard deviation than the other parameters. In addition, the optimal design results were, on average, 8 % more economical than the other design methods used for comparison.
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