Genetic Algorithm to Inverse Least Squares Comparative Dual Optimization for Ceramic Hip Arthroplasty in Medical Physics

Abstract

Ceramic THA constitutes an important group among the most frequent used implants in Biomedical Engineering and Medical Devices research field. A genetic algorithms computational nonlinear optimization is presented with two commonly ceramic materials for Ceramic-on-Ceramic (CoC) THA. This optimization is compared to a previously published Inverse Least_Squares one. Selected materials are Alumina (Al3O2), and Zirconium (ZrO2). Principal result is the numerical validation-verification of the K adimensional-constant parameter of the model with both methods. Results from previous Least-Squares algorithm and Genetic Algorithms show be closely with identical magnitude order. Numerical figures for both dual optimizations give acceptable model-parameter values with low residuals. These findings are demonstrated with series of 2D and 3D Graphical/Interior Optimization graphics also. 4D Interior Optimization method constitutes also the computational innovation of this study. The Genetic Algorithms dual-optimized ceramic-model parameters are mathematically proven/verified. Mathematical consequences are obtained for model improvements and in vitro simulation methodology. These confirmed wear parameters for in vitro determinations and efficacious Genetic Algorithms approach constitute the article novelty of both optimization methods. Results for in vitro tribotesting wear predictions with these parameters for laboratory experimental show be useful/effective. Applications for clinical Medical Physics and Bioengineering improvements in material/ceramic-THA and CAM constitute practical consequences.