Multicriteria Interval Optimization of Conditions for Complex Chemical Reactions Based on a Kinetic Model

The problem of multicriteria interval optimization of the conditions for complex chemical reactions is formulated based on an interval kinetic model. A solution method is proposed, based on evolutionary optimization algorithms, in the form of an interval Pareto front. An interval kinetic model is developed for the reaction of dimethyl carbonate with alcohols in the presence of a Co2(CO)8 metal complex catalyst, and two-sided limits on component concentrations and kinetic parameters have been determined. For this process, the effect of temperature and its possible disturbance on the values of the optimality criteria is calculated: the yield of the target product and productivity, with appropriate restrictions on changing the width of the interval.