Fuzzy Techniques vs. Multicriteria Optimization Method in Bioprocess Control

The aim of this paper is to elaborate an in-silico test of advanced intelligent control and optimization algorithms based on the concepts of multicriteria decision for productive bioprocesses in the medical biotechnologies domain. In the framework of this study it has been designed an intelligent control system based on fuzzy logic. The design of the fuzzy control system arises from the human expert knowledge organization necessity. In terms of multicriteria optimization strategy this paper presents a study in order to determine the optimal operating region for the production of an immunomodulator. The objective criteria include the production maximization in relation with the total bioprocess length and the oxygen transfer. The simulation results indicate that the fuzzy control system is able to evaluate the substrate amount necessary for cell growth according to biomass evolution. Moreover, the software application used for multicriteria optimization was able to determine an optimal domain for operating region. Hence, the final results show that the management of bioprocess final duration and oxygen transfer increases the cellular growth rate and (global) productivity.