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Note that in this case the expression rates are computed via dynamic optimization and the optimal enzyme activation profiles are obtained from the Equation (18).
Thus, a more dynamic optimization model was employed to appropriately optimize the MLMDT performance.
There are three major approaches to dynamic optimization problems: dynamic programming, calculus of variations, and optimal control theory.
Dynamic optimization is a powerful tool for assisting engineers in determining optimal operations and designs for activated sludge processes.
The optimal control problem was implemented via an interface to a dynamic optimization code.
These are solved using state-of-the-art dynamic optimization methods and tools, i.e., orthogonal collocation, an interior-point optimizer and automatic differentiation.
These are estimated using state-of-the-art dynamic optimization methods and tools, i.e., orthogonal collocation, an interior-point optimizer and automatic differentiation.
Dynamic optimization.
Fig. 8 Dynamic optimization statistics.
For this purpose, a dynamic optimization procedure can be used.
Now, we formulate the large population dynamic optimization problem.
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