Hybrid algorithm of multi-criteria optimization of chemical and technological processes based on the method of moments and the genetic algorithm

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Abstract

An algorithm for finding optimal polymer synthesis process parameter values in the presence of multiple optimality criteria has been developed. The algorithm utilizes the method of moments and a genetic algorithm. Using the method of moments, the mathematical description of the polymerization process is transformed to a final form. The computational procedure for multi-criteria optimization is based on Pareto set approximation using a genetic algorithm. The proposed approach enables efficient processing of classes of process optimization problems whose mathematical models require preliminary analytical processing for the application of optimization methods. The algorithm’s operation is demonstrated using a multi-criteria problem for the industrially significant process of isoprene polymerization over a neodymium-containing catalyst system.

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About the authors

E. V. Antipina

Ufa University of Science and Technology

Author for correspondence.
Email: stepashinaev@ya.ru

Cand. of Phys. and Math. Sc., Senior Researcher

Russian Federation, Ufa

S. A. Mustafina

Ufa University of Science and Technology

Email: mustafina_sa@mail.ru

Dr. of Phys.-Math. Sc., Professor

Russian Federation, Ufa

A. F. Antipin

Ufa University of Science and Technology

Email: andrejantipin@ya.ru

Cand. of Tech. Sc., Assistant Professor

Russian Federation, Ufa

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2. Fig. 1. Approximation of the Pareto set

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3. Fig. 2. Approximation of the Pareto front

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