Multi-objective Optimization of Fed-Batch Bioreactor Towards Lysine Production

  • Ashish M. Gujarathi
  • Badria Al-Siyabi
  • Nallusamy Sivakumar
  • Manjusha Mathew


The optimal control of fed batch bioreactor is one of the real-world problems that involve simultaneous optimization of several conflicting performance measures. Multi-objective optimization using evolutionary algorithms (EAs) is capable of solving such problems due to the population based stochastic features. These features enable the evolutionary algorithms in generating a set of non-dominated solutions called the Pareto optimal front. In this manuscript, multi-objective differential evolution (MODE) algorithms are used to study the optimal control of the fed batch fermentation of Lysine production. The studied MODE algorithms are MODE-III, Harmonic MODE. Well known test problem, KUR problem is also used to test the Pareto optimal front obtained using both the algorithms.

How to Cite
GUJARATHI, Ashish M. et al. Multi-objective Optimization of Fed-Batch Bioreactor Towards Lysine Production. ICTEA: International Conference on Thermal Engineering, [S.l.], v. 2017, mar. 2017. Available at: <>. Date accessed: 19 feb. 2018.