Steady-State Optimization of a Biological Process

This paper deals with the steady-state optimization of continuous process in glycerol metabolism. An optimization model is established by maximizing the production rate of the desired product. This model also considers the requirement for the stable steady-state point of considered bioprocess. The proposed model is then transformed into a nonlinear optimization problem by using the Hurwitz criteria. Finally, the new problem is solved by a hybrid method. This approach combines a deterministic solver and a stochastic solver. We not only obtain the stable steady-state point of considered bioprocess, but also attain the maximum production rate of desired product increased more than 10.37 times its initial point.