کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
217668 | 1426415 | 2008 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Inverse problems of biological systems using multi-objective optimization Inverse problems of biological systems using multi-objective optimization](/preview/png/217668.png)
Mathematical modeling for dynamic biological systems is a central theme in systems biology. There are still many challenges in using time-course data to obtain an inverse problem of nonlinear dynamic biological systems. In this study, a multi-objective optimization technique is introduced to determine kinetic parameter values of biochemical reaction systems. The multi-objective parameter estimation was converted into the minimax problem through the satisfying trade-off method. The aspiration value was assigned as the minimum solution to the corresponding single objective estimation. The aim of this trade-off estimation was to obtain a compromised result by simultaneously minimizing both concentration and slope error criteria. Hybrid differential evolution was applied to solve the minimax problem and to yield a global estimation.
Journal: Journal of the Chinese Institute of Chemical Engineers - Volume 39, Issue 5, September 2008, Pages 399–406