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Optimization of Silk Yarn Hierarchical Structure by Genetic Algorithm to Design Scaffolds



Naghashzargar E1 ; Semnani D1 ; Karbasi S2
Authors
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Authors Affiliations
  1. 1. Department of Textile Engineering, Isfahan University of Technology, Isfahan, Iran
  2. 2. Department of Medical Physics and Biomedical Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Indian Journal of Fibre and Textile Research Published:2015

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. © 2015 National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.
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Experts (# of related papers)
Saeed Karbasi (3)