Evolutionary Approach to find Kinetic Parameters for Bioreactor for Lactic Acid Production
Optimization of biochemical process using evolutionary approach has gained the interest of scientist in the recent past. Due to the ability of solving nonlinear problems, evolutionary algorithms are preferred over the local search methods to solve the nonlinear problems. In this study, differential evolution algorithm is used to find the set of kinetic parameters to produce lactic acid from the date waste using the batch bioreactor. Differential Evolution is a one of the robust real parameter based evolutionary algorithms which mimics the survival of fittest principle. The nonlinear and the coupled ordinary differential equations (ODEs) are solved using the Matlab platform. Three different strategies of DE are used to estimate the set of kinetic parameters. The rand/2 strategy of DE algorithm is able to results in the highest R2 value of 0.9974. The minimum objective functions value (i.e., 0.0412) is achieved in this study using both the rand/2 and current-to-best/2 strategies of DE.