Cardiac myocyte model parameter sensitivity analysis and model transformation using a genetic algorithm

Author(s):  
Armen R. Kherlopian ◽  
Francis A. Ortega ◽  
David J. Christini
2018 ◽  
Vol 26 ◽  
pp. 179-192
Author(s):  
Xiaoru Wang ◽  
Hongjian Gao ◽  
Shuicai Wu ◽  
Yanping Bai ◽  
Zhuhuang Zhou

Author(s):  
H. Torab

Abstract Parameter sensitivity for large-scale systems that include several components which interface in series is presented. Large-scale systems can be divided into components or sub-systems to avoid excessive calculations in determining their optimum design. Model Coordination Method of Decomposition (MCMD) is one of the most commonly used methods to solve large-scale engineering optimization problems. In the Model Coordination Method of Decomposition, the vector of coordinating variables can be partitioned into two sub-vectors for systems with several components interacting in series. The first sub-vector consists of those variables that are common among all or most of the elements. The other sub-vector consists of those variables that are common between only two components that are in series. This study focuses on a parameter sensitivity analysis for this special case using MCMD.


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