Multiple Objective Optimization of a Mass Transfer in Stirred Tank Bioreactors

In the present study we used the concept of Pareto for solving multiple objective optimisation of the mass transfer in a stirred tank bioreactor. The model of the mass transfer is formulated as a general multiple objective optimization problem. By using an assigned membership function for each of the objectives, the general multiple objective optimization problem can be converted into a maximizing decision problem. In order to obtain a global solution, a Price method is introduced to solve the maximizing decision problem. The policy consists of constructive and regime bioreactor parameters. After this multiple optimization, the performance of the mass transfer, aeration and mixing are improved.