A Multiple-objective Optimization of Whey Fermentation in Stirred Tank Bioreactors

A Multiple-objective Optimization of Whey Fermentation in Stirred Tank Bioreactors

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A multiple-objective optimization is applied to find an optimal policy of a fed-batch fermentation process for lactose oxidation from a natural substratum of the strain Kluyveromyces iphone xr price calgary marxianus var.lactis MC5.The optimal policy is consisted of feed flow rate, agitation speed, and gas flow rate.The multiple-objective problem includes: the total price of the biomass production, the second objective functions are the separation cost in downstream processing and the third objective function corresponds to the oxygen mass-transfer in the bioreactor.

The multiple-objective optimization are transforming to standard problem for optimization arcade smokey the bear belt with single-objective function.Local criteria are defined utility function with different weight for single-type vector task.A fuzzy sets method is applied to be solved the maximizing decision problem.A simple combined algorithm guideline to find a satisfactory solution to the general multiple-objective optimization problem.

The obtained optimal control results have shown an increase of the process productiveness and a decrease of the residual substrate concentration.