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.