TAF PUBLISHING

Study on the biological effects of irradiation becomes important nowadays. Mathematical modeling is one of the interests among researchers due to its ability to explain the dynamics process of irradiation. Some physical parameters cannot be evaluated from the empirical data. Therefore, the aim of this work to estimate parameters of the model of irradiation effects to bystander cells using optimization approaches. We employ two algorithms: Nelder-Mead Simplex (a local optimizer) and Particle Swarm (a global optimizer). We compare the efficiency of two optimization algorithms in optimizing the parameter values of the model. 50 sets of parameters have been estimated, and all sets can match the model simulation and the experimental data with the least sum-squared error (SSE). The graph of model simulation using a set of the estimated parameter from both optimization algorithms shows a good fit with the experimental data. The overall results indicate that Nelder-Mead Simplex (NMS) is better than Particle Swarm (PS) optimization in the aspect of time computing. At the same time, there is no significant difference in the score of SSE and converging iteration to the least SSE.