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Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities
2015
Processes
In recent years, model optimization in the field of computational biology has become a prominent area for development of pharmaceutical drugs. The increased amount of experimental data leads to the increase in complexity of proposed models. With increased complexity comes a necessity for computational algorithms that are able to handle the large datasets that are used to fit model parameters. In this study the ability of simultaneous, hybrid simultaneous, and sequential algorithms are tested on
doi:10.3390/pr3030701
fatcat:dptmkf5syvawxijcbt5v557f4e