Using Multiple Objective Functions in the Dynamic Model of Metabolic Networks of Escherichia coli
Different objective functions in the dynamic model can explore the diverse properties of the solution space, and a wide variety of capabilities of an organism. In that way, when there is a fact that several conditions can simultaneously achieve the optimality, the multiple objective functions are explored in the dynamic model of metabolic networks naturally. For obtaining the better simulation consequences of the concentrations of glucose and biomass in the metabolism of Escherichia coli, we choose both of the maximal biomass yield and maximal glucose utilization ratio to structure the multiple objective functions. The simulation results of the metabolite concentrations agree well with the experimental results.
Keywordsmultiple objective functions dynamic model Escherichia coli unified goal method
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