Optimization of silk yarn hierarchical structure by genetic algorithm to design scaffolds

Naghashzargar, Elham ; Semnani, Dariush ; Karbasi, Saeed


A genetic algorithm model has been developed to determine the optimal parameters of mechanical aspects of a silk wire-rope scaffold with the highest predictive accuracy and generalized ability simultaneously. The study pioneered on employing a genetic algorithm (GA) to optimize the parameters of scaffold in tendon and ligament tissue engineering. Experimental results show that the GA model performs the best predictive accuracy to imply mechanical behavior with native values successfully.


Artificial neural network; Genetic algorithm; Mechanical properties; Scaffolds, Silk;Tissue engineering

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