A hybrid method of differential evolution with application to optimal control problems of a bioprocess system

A hybrid method of differential evolution is developed in this study. Two additional operations (accelerated phase and migrating phase) are embedded into the original version of differential evolution. These two phases are used for improving the convergence speed without reducing the diversity among the individuals. The method of multiplier updating, incorporated in the proposed method, is introduced to solve the constrained optimization problems. The method is then extended to solve the simultaneous optimal control and optimal parameter selection problems of a bioprocess system.