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Finally, Section Objective function optimization describes the algorithm to optimize the objective function.
Our independent assessment of the parameters with data not used for cost function optimization allowed us to further restrict the minima and reach a compromise between cost function optimality and biological plausibility.
Consequently, they can be analyzed by means of linear programming to find an optimal metabolic flux profile as defined by a linear objective function (optimization criterion).
3) Objective function optimization.
We consider a general utility function optimization objective.
For function optimization, EP mainly relies on its mutation operators.
Four illustrative examples of Lyapunov function optimization and parameter modification are given.
A subset of these is selected for detailed examination employing multiobjective function optimization techniques.
Their tuning can be performed by any heuristics for multimodal function optimization.
Figures 1 and 2 are sample plots of two maximum and minimum function optimization results.
Open image in new window Fig. 3 Fitness function optimization over 100 iterations.
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