Abstract
The issue of optimizing the reliability of complex networks is one of the contemporary issues, which has evolved with the development of methodologies for solutions with the development of modern engineering technology. Algorithms that mimic nature are among the most powerful algorithms used in optimization. In this study, the bat algorithm was presented to obtain the best reliability for a complex network that was selected at the lowest possible cost using three different cost functions, the logarithmic, the exponential and the tangent functions. Where we got different results according to the cost function used and the comparison was made between those results and we were found that the result of the logarithmic function is the best.
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