Optimization and Evolutionary Control of Chemical Reactor

ABSTRACT This work deals with using of evolutionary algorithm SOMA for static optimization of a batch reactor for the purpose to improve its behavior in uncontrolled state and for its subsequent evolutionary predictive control. The main aim of this work is to show that evolutionary algorithms are capable of successful optimization of very difficult and complex engineering problems. The importance of this problem is increasing with growing demand for special products made in batch reactors. The optimization gave the best solution, which markedly improved the performance of the reactor in comparison with original expert setting of reactor parameters. The optimized reactor was used in a simulation with predictive control by the evolutionary algorithms and excellent results were achieved