Optimisation of fed-batch culture of hybridoma cells using genetic algorithms

In this paper, a program describing a genetic algorithm is used for optimis ing fed-batch culture hybridoma cells to obtain the highest yield over cert ain time period. Optimal feed rate trajectories for a single feed stream co ntaining both glucose and glutamine, and separate feed streams of glucose a nd glutamine are determined via the genetic algorithm. As compared to the o ptimal constant feed rate regime, optimal varying feed rate trajectories im prove the final monoclonal antibodies concentration by 10% for the single f eed rate case and by 39% for the multi feed rate case in this simulation. I n comparsion with a dynamic programming, GA calculated feed trajectories yi eld a much higher level of monoclonal antibodies concentration. (C) 2001 El sevier Science Ltd. All rights reserved.