Optimization of silk yarn hierarchical structure by genetic algorithm to design scaffolds, By Elham Naghashzargar

Research

Title	Optimization of silk yarn hierarchical structure by genetic algorithm to design scaffolds
Type	Article
Keywords	Artificial neural network, Genetic algorithm, Mechanical properties, Scaffolds, Silk, Tissue engineering
Researchers	Elham Naghashzargar، Dariush Semnani، Saeed Karbasi

Abstract

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.