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

• Main Author: Mitko Petrov
• Format: Article
• Language: English
• Published: Academic Publishing House 2006-12-01
• Series: Bioautomation
• Subjects: Multiple-objective optimization; Fuzzy sets; Fuzzy optimal control; Non-iterative algorithm
• Online Access: http://www.clbme.bas.bg/bioautomation/2006/vol_5.1/files/5_1.4.pdf

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 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 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.