Abstract
A procedure was developed for the investigation of complex catalytic reactions using optimization algorithms. The first stage is a solution of the inverse problem of chemical kinetics involving the recovery of unknown parameters by single-objective optimization algorithms. In the second stage, based on the kinetic model, we solved the problem of determining the optimal conditions for the reaction resorting to multi-objective optimization algorithms. Parallelization models of computing for solving the multi-objective optimization problem are considered.
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